Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel methods for microscopic image processing, analysis, classification and compression

Novel Methods for Microscopic Image Processing, Analysis, Classification and Compression Alexander Suhre Ph.D. in Electrical and Electronics Engineering Supervisor: Prof. Dr. Ahmet Enis Çetin May 2013 Microscopic images are frequently used in medicine and molecular biology. Many interesting image processing problems arise after the initial data acquisition step, since image modalities are manifold. In this thesis, we developed several algorithms in order to handle the critical pipeline of microscopic image storage/compression and analysis/classification more efficiently. The first step in our processing pipeline is image compression. Microscopic images are large in size (e.g. 100K-by-100K pixels), therefore finding efficient ways of compressing such data is necessary for efficient transmission, storage and evaluation. We propose an image compression scheme that uses the color content of a given image, by applying a block-adaptive color transform. Microscopic images of tissues have a very specific color palette due to the staining process they undergo before data acquisition. The proposed color transform takes advantage of this fact and can be incorporated into widely-used compression algorithms such as JPEG and JPEG 2000 without creating any overhead at the receiver due to its
Electronic Thesis and Dissertations (ETDs) by Indian Universities in Shodhganga Project: A Study

This paper examines the Electronic Thesis and Dissertations (ETDs) deposited at INFLIBNET Shodhganga project by Indian Universities. It is found that 32000+ theses have been deposited on various disciplines by 201 Universities. The study considered only top five Universities ranked by INFLIBNET Shodhganga project. It is found the top five Universities have contributed 3145 theses in the repository.
Boosted Apriori: an Effective Data Mining Association Rules for Heart Disease Prediction System

2 Abstract: In health concern business, data mining plays a significant task for predicting diseases. Numeral number of tests must be requisite from the patient for detecting a disease. However using data mining technique can reduce the number of test that are required. Cardiovascular disease is the principal source of deaths widespread and the prediction of Heart Disease is significant at an untimely phase. In order to reduce numbers of deaths from heart diseases there have to be a quick and efficient detection technique. The principle of this study is, hence to extract hidden patterns by applying data mining techniques, which are noteworthy to heart diseases, from a data collected together by an Hospital.
Design, simulation and fabrication of a MEMS accelerometer by using sequential and pulsed-mode DRIE processes

A sensitive half-bridge MEMS accelerometer fabricated by sequential and pulsed-mode processes is presented in this paper. The proposed accelerometer is analyzed by using conventional equations and the finite element method. The micromachining technology used in this work relies on two processes: sequential and pulsed-mode. In the sequential deep reactive ion etching process, a mixture of hydrogen and oxygen with a trace value of SF6 is used instead of polymeric material in the passivation step. The pulsed-mode process employs periodic hydrogen pulses in continuous fluorine plasma. Because of the continuous nature of this process, plus the in situ passivation caused by the hydrogen pulses, scallop-free sidewalls are achieved and the etch rate is also relatively high. Furthermore, the functional characteristics of the fabricated accelerometer sensor are measured and reported. Measurement results, which are in good agreement with simulations, show that the functional characteristics of the fabricated sensor are as follows: resonance frequency of about 2 kHz, sensitivity of 76 mV g−1 and Brownian noise equivalent acceleration of 4.74 μg Hz−1.
Architectural Support of Enterprise Transformations: Insights from Corporate Practice

Enterprise architecture management (EAM) is considered to be a means to contribute to fundamental change (enterprise transformations) in organizations. Based on qualitative interview data, we investigate how EAM contributes to meeting the information needs of transformation managers during an enterprise transformation (ET). We identify the type of information EAM can provide to ET management. We further identify the activities conducted during ETs that foster information needs. Our results differentiate between information that EAM can provide, can partially provide, or cannot provide, to an ET effort.
Visualization of Plant Fibres via Diffusion Tensor Imaging

The paper deals with MR imaging of plant flbres via Difiusion weighted imaging (DWI) and Difiusion tensor imaging (DTI). Imaging plant flbres helps to better understand the process of nourishing the plants, and also to come to know the internal structure of plants without damaging them. To measure difiusion in the plant specimen, the well-known NMR method was used, currently referred to as the Pulsed fleld gradient spin-echo (PFGSE). Experimental measurement was conducted on an MR tomograph system with the gradient fleld B0 = 4:7T. Onion and dill were used as specimens to be measured. The values obtained by the PFGSE method were used to calculate difiusion weighted images (DWI). The measurement of difiusion weighted images was performed in 6 directions of the gradients (x, y, z, xy, xz, yz) and the data obtained served to calculate the DTI image of the specimen being measured.
Using PROC GAM to Forecast Claims Reserves in the Runoff Triangles

Runoff triangle means the two-way tabulation according to the warranty start time and duration. Forecasting adequate claims and setting up suitable reserves in the runoff triangles is an important part of an insurance company. Traditionally the claims reserves are estimated by linear regression models such as chain ladder in practice. A more accurate and flexible model can be built by examining claims counts and claims size separately, and then combine the estimates to compute the total claims reserves. This paper focuses on fitting generalized additive models (GAM) with PROC GAM to predict claims counts and claims size separately, and then calculated the total claims reserves in the runoff triangles. The final model is validated on a test dataset to check how the accuracy.
Precise estimation of dodecylbenzenesulfonate in aqueous solution containing dissolved organic matter extracted from soil using UV‐spectrometry

Precise estimation of sodium dodecylbenzenesulfonate (DBS) is essential for understanding its adsorption in soils, transport, toxicity, fate, and its application in the remediation of contaminated soil and groundwater. DBS can be easily identified by its conjugated double bond systems of benzene rings under the ultraviolet (UV) spectrum of a spectrophotometer. However, benzene group components of dissolved organic matter (DOM) also absorb light in the UV spectrum, and this effect is responsible for the excess quantities of DBS that are falsely measured by spectrophotometers. This study was conducted to propose a method for accurately measuring the DBS concentration of a solution containing DOM. To elucidate the influence of DOM during the UV‐spectroscopic measurement of DBS in an aqueous solution, 222.5 nm UV and 400 nm UV–vis spectra were measured. The DOM was extracted from a highly humic non‐allophanic volcanic ash (Andosol) soil by using 1 mmol NaCl/L and 100 mmol NaCl/L solutions as the extractants. The absorbances at both 222.5 and 400 nm increased in proportion to the increase in the DOM concentration. The relationship between the absorbances at the two different wavelengths could be expressed as a linear relationship. On the other hand, the absorbance at 400 nm did not increase with the increase in the DBS concentration, whereas the absorbance at 222.5 nm increased with the increase in the DOM concentration. Therefore, we inferred that the influence of DOM on the absorbance value of the DBS–DOM complex solution at 222.5 nm could be eliminated by using the linear relationship between the two different absorbances of the DBS‐free DOM solution. This method makes it possible to easily measure the DBS concentration of a solution from soil water, streams or industrial effluents containing DOM, without using reagents.
The feasibility of 'Building Performance Sketching' within the building design process

This study investigated the question of whether or not the distributed model method (DMM) could be perceived by the New Zealand building industry’s architects and engineers as overcoming barriers which prevent them from implementing building performance sketching within their design processes. Current literature on the barriers to building performance simulation (BPS) have suggested a number of recommendations for tool developers to address, with little documented success to their impact on overcoming these perceived barriers. The recommendations suggested mainly improving tool interoperability for effective design team collaboration, and means to demonstrate model quality assurance. The DMM presented itself within literature as a new means to overcome the difficulties of interoperability faced by the central modelling method, commonly used in building information modelling (BIM), to meet requirements for design team collaboration. With the ability to provide high interoperability and parametric capabilities with detailed simulation programs, the DMM was hypothesised to address all recommendations from literature to overcome the barriers to implementing BPS within the design process. Furthermore, the study proposed the use of building performance sketching as an approach to assess the architectural sketch as a means to ensure quality assurance. The study concluded that DMM cannot currently address all wants and wishes of users established in literature, but has potential. Future research efforts are required to focus upon: creating industry specific templates for building types; developing these templates to be adaptable for the different modelling operators of the proposed workflow demonstrated to the participants within this study; and developing quality assurance standards for modelling and guidelines for model validation. Finally, the study concluded with future work required beyond tool development: improving education of architects; and introducing legislation.
The authors' reply

4. Prest HF, Jarman WM, Burns SA, Weismuller T, Martin M, Huckins JN. 1992. Passive water sampling via semipermeable membrane devices (SPMDs) in concert with bivalves in the Sacramento/San Joaquin River Delta. Chemosphere 25:1811–1824. 5. Huckins JN, Manuweera GK, Petty JD, Mackay D, Lebo JA. 1993. Lipid-containing semipermeable membrane devices for monitoring organic contaminants in water. Environ Sci Technol 27:2489–2496. 6. Petty JD, Huckins JN, Zajicek JL. 1993. Application of semipermeable membrane devices (SPMDs) as passive air samplers. Chemosphere 27:1609–1624. 7. Ellis GS, Huckins JN, Rostad CE, Schmitt CJ, Petty JD, MacCarthy P. 1995. Evaluation of lipid-containing semipermeable membrane devices (SPMDs) for monitoring organochlorine contaminants in the Upper Mississippi river. Environ Toxicol Chem 14:1875–1884. 8. Petty JD, Huckins JN, Martin DB, Adoranato TG. 1995. Use of semipermeable membrane devices (SPMDs) to determine bioavailable organochlorine pesticide residues in streams receiving irrigation drainwater. Chemosphere 30:1891–1903. 9. Petty JD, Huckins JN, Orazio CE, Lebo JA, Poulton BC, Gale RW, Charbonneau CS, Kaiser EM. 1995. Determination of bioavailable organochlorine pesticide residues in the Lower Missouri River. Environ Sci Technol 29:2561–2566. 10. Lebo JA, et al. 1995. Use of the semipermeable membrane device (SPMD) as an in situ sampler of waterborne bioavailable PCDD and PCDF residues at sub-part-per-quadrillion concentrations.Environ Sci Technol 29:2886–2892. 11. Prest HF, Richardson BF, Jacobson LA, Vedder J, Martin M. 1995. Monitoring organochlorines with semipermeable membrane devices (SPMDs) and mussels (Mytilus edulis) in Corio Bay, Victoria, Australia. Mar Pollut Bull 30:543–554. 12. Prest HF, Jacobson LA, Huckins JN. 1995. Passive sampling of water and coastal air via semipermeable membrane devices. Chemosphere 30:1351–1361. 13. Huckins JN, Petty JD, Lebo JA, Orazio CE, Prest HF, Tillitt DE, Ellis GS, Johnson BT, Manuweera GK. 1996. Semipermeable membrane devices (SPMDs) for the concentration and assessment of bioavailable organic contaminants in aquatic environments. In Ostrander GK, ed, Techniques in Aquatic Toxicology. CRC, Boca Raton, FL, USA, pp 625–655.
Lake and Reservoir Management

Results of numerous research studies and investigations were published in the year 2003 in a number of Journals. Two journals were exclusively attributed to lake and reservoir management, namely, Lake and Reservoir Management published by the North American Lake Management Society (NALMS) and Lakes and Reservoirs; Research and Management, which is an official journal of the International Lake Environment Committee (ILEC). In this section, an attempt was made to cover, as much as possible, all topics directly related to the management of lakes and reservoirs. Papers of pure scientific nature on microbial isolation, enumeration, characterization, and population dynamics, among other topics, were not included.
Short-lived Multilink Failures Handled Effectively Using LOLS Integrating with FCFR for Loop Free Convergence

The short-lived failures are reasonably common in IP networks, there are many ways with which local rerouting can be provided for high accessibility but most of them are for single link failure. Here, we are suggesting a Localized On- demand Link State (LOLS) routing to safeguard the forwarding continuity even with multiple failures restraining the propagation of failure information to just a few hops. LOLS cannot promise loop-free forwarding during route convergence and this is the motive why we are working on integrating Fast Convergence Fast Reroute (FCFR) practice with LOLS to ensure loop free rerouting and convergence even with many failures. Fast Convergence with Fast Reroute (FCFR), which uses a fast reroute design such as Not-Via and desires just one additional bit in the packet header with much less per-packet overhead. Integrating LOLS with FCFR is going to hold the excellence of LOLS of loop free forwarding and conquer downside of LOLS by ensuring loop free convergence.
Overhead Evaluation of Ad Hoc on Demand Distance Vector Routing Protocols Using NS2 Simulation

Mobile Ad-Hoc Network (MANET) is an infrastructure less and highly challenged network environment due to its dynamic topology which needs a robust dynamic routing protocol. Ad-hoc on demand distance vector routing (AODV) is well-suited for mobile ad-hoc network, it has low memory overhead and low network utilization. In this paper, an attempt has been made to compare the effects of Hello packets in the performance of the AODV protocol for mobile ad hoc networks in different scenarios. We studied many factors that contribute to the overall performance of the protocol, and focused on one of them -control messages (Hello packets). Messages affect the parameter of protocols like throughput, overhead, hidden energy consumption, etc. We examine how the overhead of AODV protocol can be improved.
Localization properties of the disordered XY spin chain

We review several aspects of Many‐Body Localization‐like properties exhibited by the disordered XY chains: localization properties of the energy eigenstates and thermal states, propagation bounds of Lieb‐Robinson type, decay of correlation functions, absence of particle transport, bounds on the bipartite entanglement, and bounded entanglement growth under the dynamics. We also prove new results on the absence of energy transport and Fock space localization. All these properties are made accessible to mathematical analysis due to the exact mapping of the XY chain to a system of quasi‐free fermions given by the Jordan‐Wigner transformation. Motivated by these results we discuss conjectured properties of more general disordered quantum spin and other systems as possible directions for future mathematical research.
Parameter extraction of interdigital slow‐wave coplanar waveguide circuits using finite difference frequency domain algorithm

The slow wave effect can be obtained by a capacitively loaded structure with a symmetrical interdigital line connected on both sides of the coplanar waveguide (CPW) central line. The ferroelectric thin film with high dielectric constant can reduce the size of circuit and make it possible to realize tunable devices such as filter by applying voltage on it. Actually, this kind of slow wave structure is a periodic guided‐wave structure and can be analyzed by using classic finite difference frequency domain (FDFD) method for periodic guided‐wave structures. However, the very compact slow‐wave structures will usually result in simulation errors when the classic FDFD method is adopted, which will lead to a nonsymmetrical generalized eigenvalue problem. In this article, the shift‐and‐invert (SI) Arnoldi method is used to directly resolve this nonsymmetrical generalized eigenvalue problem. As a result, the accuracy of FDFD algorithm is improved. Especially for the large scale eigenvalue problem, SI method can also have a very fast speed of calculation. By means of its complex propagation constant obtained from simulation, one can extract circuit parameters of the interdigital capacitor. Consequently, one can analyze and design relevant resonators and filters in a quick and accurate manner, which are constructed with such interdigital slow wave structures. © 2008 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2008.
University-driven inclusive innovations in the Western Cape of South Africa: Towards a research framework of innovation regimes

Inclusive innovation refers to the improvement of living conditions and creation of employment opportunities for the poor through the development or co-creation of new products, services, processes and business models aimed at resource poor communities. Based on an empirical study of 15 university-led inclusive innovation projects in the Western Cape Province in South Africa, using an inductive approach we apply an analytical framework that serves two purposes (1) to describe our empirical findings and (2) to develop a broader research agenda that identifies a number of key research questions on the role of inclusive innovation projects in developing countries, and ways of addressing those questions in future studies. The empirical findings reveal a wide variety of university departments and individual staff members engaging with low-income user groups or entrepreneurs to (co-)create, launch or operate inclusive innovations. Our analysis shows that unravelling the various structural components and functions can provide interesting new insights into the workings of inclusive innovation systems. The findings of our study illustrate the complexity of the subject matter and the urgent need for a ‘system of innovation components’ approach to enhance our understanding of inclusive innovation projects and to develop appropriate methodologies for measuring their impacts.
INS Alignment Improvement Using Rest Heading and Zero-Velocity Updates

In this paper the feasibility of rapid alignment and calibration of a static strapdown inertial navigation system (INS) is evaluated. Resting conditions including zero-velocity update and a known initial heading direction as virtual external measurement data are integrated with INS data. By comparing the virtual external measurements with the estimates of those generated by the aligning INS, estimates of the velocity and heading errors can be obtained and these errors will be propagated in the INS as a result of alignment inaccuracies. An extended Kalman filter based on an augmented process model and a measurement model is designed to estimate alignment attitudes and biases of inertial sensors. Monte Carlo simulation results show that the integration of INS with rest conditions is very effective in rapid and fine leveling and azimuth alignment of INS, but this type of data fusion due to poor acceleration and angular rates of static condition has no chance of valuable calibration of all inertial sensor biases.
Discussion

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EAF optimal managing elements

Electric Arc Furnaces (EAF) is an important and complex aggregate. We present elements of EAF operating efficiency. The reliability of the EAF is mainly determined by electric circuit reliability and especially of the transformator of the furnace. This due to the fact that, in an electric steel plant, the objective „24 tapping/day” involves. Due to the complexity of the process, the EAF operation needs a computer usage and, in his componence, it must have two independent calculation units (UC1) and (UC2). Based on these two input sets (Σi1) and ((Σi2), the calculation unit (UC1) builds the general operation procedure based on mathematical methods. For that purpose, there are used the results of the 5 mathematical methods: the mathematical model to write-off the function objective (M.F.O.); the mathematical model of calculating the charge (M.C.C.); the mathematical model of conducting the effective melt (M.C.M.); the mathematical model of reheating the charge (M.R.C.); the mathematical model of blasting the reactive dusts (M.B.R.D.).
Proposals for 2001 samples of anonymized records: An assessment of disclosure risk

In 1991 Marsh and co‐workers made the case for a sample of anonymized records (SAR) from the 1991 census of population. The case was accepted by the Office for National Statistics (then the Office of Population Censuses and Surveys) and a request was made by the Economic and Social Research Council to purchase the SARs. Two files were released for Great Britain—a 2% sample of individuals and a 1% sample of households. Subsequently similar samples were released for Northern Ireland. Since their release, the files have been heavily used for research and there has been no known breach of confidentiality. There is a considerable demand for similar files from the 2001 census, with specific requests for a larger sample size and lower population threshold for the individual SAR. This paper reassesses the analysis of Marsh and co‐workers of the risk of identification of an individual or household in a sample of microdata from the 1991 census and also uses alternative ways of assessing risks with the 1991 SARs. The results of both the reassessment and the new analyses are reassuring and allow us to take the 1991 SARs as a base‐line against which to assess proposals for changes to the size and structure of samples from the 2001 census.