Miracle-dz/UniFAR-FTUs huggingface dataset:
Mobile Banking – An Answer to Financial Inclusion in Hilly Rural India.

Financial Inclusion is still a major challenge for the India, despite of being one of major agenda since 2004-2005, due to difficulty in reaching far flung areas of the country comprising 600,000 villages. This has huge implications on economic development of the country. Therefore there is regular thrust from Government of India (GoI) to bring everyone to the ambit of formal banking system through various schemes. Mahatma Gandhi National Rural Employment Act (MGNREGA) is one of the major GoI schemes that have contributed significantly to financial inclusion in India. India has more mobile connections compared to banking accounts, therefore GoI in Economic Survey 2014-15, proposed JAM (JanDhan Yojana, Aadhar Number and Mobile Number) trinity to use ICT for more efficient and effective spread of formal banking even to the hilly areas where brick and mortar banks are difficult to build and sustain. Hence to understand the constructs of mobile banking adoption for financial inclusion in Champawat district of Uttrakhand, India under MNREGA, this research discusses revised technology acceptance model (TAM) and carefully picked constructs from literature review which were weaved together by using Total Interpretive Structural Modeling (TISM) to form a conceptual model for Champawat District of Uttrakhand, India.
Online detection of driver distraction: preliminary results from the AIDE project

A preliminary version of the Cockpit Activity Assessment (CAA) module, developed as a part of the AIDE EU-funded project, is described and evaluated. The CAA module is a real-time software implementing algorithms for online detection of visual and cognitive driver distraction. Algorithms for analyzing head/eye tracker output are presented, and are shown to be useful for visual distraction detection purposes although further developments are needed. The problem of cognitive distraction detection is addressed by suggesting three cognitive distraction indicators, defined so as to be robust to variations in sensor data quality, and shown to be individually sensitive to cognitive load in the driver. Finally, a support vector machine classifier, using the cognitive distraction indicators as input, is presented. On motorway, rural and suburban roads, the classifier currently reaches a 40-80 percent accuracy at detecting a cognitive task, while maintaining an almost 80 percent correct classification of non-distracted driving.
Wavefront customized visual corrections : the quest for super vision II

Wavefront technology has seen an explosion of information and in keeping with the fast-paced changing world is the premier source on wavefront correction, Wavefront Customized Visual Correction: The Quest for Super Vision II. Recognized as the premier source on wavefront correction, Wavefront Customized Visual Correction details the latest advancements in state-of-the-art wavefront-guided ophthalmic corrections poised to revolutionize the eyecare world in the future. As ophthalmic wavefront technology and applications have matured, wavefront testing and wavefront-guided corrections are fast becoming ophthalmic prescriptions of unparalleled visual quality. A complete revision to the best-selling Customized Corneal Ablation: The Quest for Super Vision, this "wavefront bible" incorporates additional forms of customized diagnosis and correction, including intraocular lens correction, presbyopic issues, and contact lenses. New Topics Include: Significant clinical trial results on customized ablation (from the US FDA and international studies); Basic and advanced wavefront diagnostics and interpretation. Basic science of wavefront sensing and principles of wavefront sensing devices. Advanced customization in presbyopic correction. Wavefront customized lenses including IOLs and contact lenses. A section on advanced wavefront diagnostics and standards has been rewritten and expanded to account for the latest breakthroughs. This section is critical in properly educating eyecare professionals about this innovative technology. Wavefront Customized Visual Correction has opened the door to a world of future possibilities on the application of wavefront technology to the eye and will remain the most comprehensive single source on wavefront and customized visual correction.
Performance experiments with alternative advanced teleoperator control modes for a simulated solar maximum satellite repair

Experiments are described which were conducted at the JPL Advanced Teleoperator Lab to demonstrate and evaluate the effectiveness of various teleoperator control modes in the performance of a simulated Solar Max Satellite Repair (SMSR) task. THe SMSR was selected as a test because it is very rich in performance capability requirements and it actually has been performed by two EVA astronauts in the Space Shuttle Bay in 1984. The main subtasks are: thermal blanket removal; installation of a hinge attachment for electrical panel opening; opening of electrical panel; removal of electrical connectors; relining of cable bundles; replacement of electrical panel; securing parts and cables; re-mate electrical connectors; closing of electrical panel; and reinstating thermal blanket. The current performance experiments are limited to thermal blanket cutting, electrical panel unbolting and handling electrical bundles and connectors. In one formal experiment even different control modes were applied to the unbolting and reinsertion of electrical panel screws subtasks. The seven control modes are alternative combinations of manual position and rate control with force feedback and remote compliance referenced to force-torque sensor information. Force-torque sensor and end effector position data and task completion times were recorded for analysis and quantification of operator performance.
Simulation of scheduling algorithms for femtocells in an LTE environment

The new mobile standard Long Term Evolution delivers high data rates, small delay and a more efficiently utilized RF spectrum. A solution to maintain this performance in user dense areas or areas with bad reception is the deployment of so-called femtocells. Femtocells are small base stations that are deployed indoors and share the RF spectrum with the whole mobile network. The idea is that femtocells will increase mobile operators network coverage and capacity while it at the same time increase users data throughput. There are several challenges with femtocells, both technical and economical ones. The most debated issues is how femtocells should schedule users while operating in an environment where other femtocells and base stations are interfering. In this work we developed a simulation tool to simulate the scheduling interaction between femtocells and base stationsin order to show the performance of radio resource schedulers. This rapport also aims to evaluate an approach to a femtocell scheduler to solve this issue in a satisfying way. The report gives a description of the structure of the implemented simulation tool together with some reflections on how future designs of similar or more complex simulation environments could be done.
Color Enhanced Cross Correlation Net for Image Sentiment Analysis

Automatic analysis of image sentiment has gained considerable attention with the increasing throughput of user-generated visual contents online. Recently, researchers generally tend to design different Convolutional Neural Networks (CNNs) to extract image content features for sentiment analysis. However, they underestimated the importance of image color, which has been proved very crucial for image sentiment expressing by psychology and art theory. Moreover, we further observe that the coordination of content and color is the main form of image sentiment expressing. Different combinations of content and color could express extremely different sentiments. To that end, in this paper, we propose a Color Enhanced Cross Correlation Net (CECCN), a novel architecture for image sentiment analysis that not only leverages contents and colors simultaneously, but also takes their correlations into consideration. Specifically, we first use a pre-trained CNN to extract content features and color moment to collect color features from multiple color spaces. Then, we propose a novel Cross Correlation (CC) method to model the correlations between content features and color features with attention mechanism and sequence convolution, in which sentiment expressing of content and color can be enhanced by each other. Finally, we integrate these two types of information for better image sentiment analysis. Extensive experiments on two popular and well-studied benchmark datasets demonstrate the superiority and rationality of our proposed CECCN.
An Efficient Mining for Recommendation System for Academics

At present time huge numbers of research articles are available on World Wide Web in any domain. The research scholar explores a research papers to get the appropriate information and it takes time and effort of the researcher. In this scenario, there is the need for a researcher to search a research based on its research article. In the present paper a method of Knowledge ablation from a collection of research articles, is presented to evolve a system research paper recommendation system (RPRS), which would generate the recommendations for research article based on researcher choice. The RPRS accumulate the knowledge ablated from the pertinent research articles in the form of semantic tree. It accumulates all the literal sub parts with their reckoning in nodes. These parts are arranged based on their types in such a way that the leaf nodes stores the words with its prospect, the higher layer gives details about dictum with its reckoning, next to it an abstract. A Bayesian network is applied to construct a verisimilitude model which would quotation the pertinent tidings from the knowledge tree to construct the recommendation and word would be scored through TF-IDF value
Evaluation of Variable Advisory Speed Limits in Work Zones

Variable advisory speed limit (VASL) systems could be effective at both urban and rural work zones, at both uncongested and congested sites. At uncongested urban work zones, the average speeds with VASL were lower than without VASL. But the standard deviation of speeds with VASL was higher. The increase in standard deviation may be due to the advisory nature of VASL. The speed limit compliance with VASL was about eight times greater than without VASL. At the congested sites, the VASL was effective in making drivers slow down gradually as they approached the work zone, reducing any sudden changes in speeds. Mobility-wise the use of VASL resulted in a decrease in average queue length, throughput, number of stops, and an increase in travel time. Several surrogate safety measures also demonstrated the benefits of VASL in congested work zones. VASL deployments in rural work zones resulted in reductions in mean speed, speed variance, and 85th percentile speeds downstream of the VASL sign. The study makes the following recommendations based on the case studies investigated: 1. The use of VASL is recommended for uncongested work zones to achieve better speed compliance and lower speeds. Greater enforcement of regulatory speed limits could help to decrease the standard deviation in speeds. 2. The use of VASL to complement the static speed limits in rural work zones is beneficial even if the VASL is only used to display the static speed limits. It leads to safer traffic conditions by encouraging traffic to slow down gradually and by reminding traffic of the reduced speed limit. A well-designed VASL algorithm, like the P5 algorithm developed in this study, can significantly improve the mobility and safety conditions in congested work zones. The use of simulation is recommended for optimizing the VASL algorithms before field deployment
Trajectory planning with mid-air collision avoidance for quadrotor unmanned aerial vehicles

Flight collision between unmanned aerial vehicles (UAVs) in mid-air poses a potential risk to flight safety in low-altitude airspace. This article transforms the problem of collision avoidance between quadrotor UAVs into a trajectory-planning problem using optimal control algorithms, therefore achieving both robustness and efficiency. Specifically, the pseudospectral method is introduced to solve the raised optimal control problem, while the generated optimal trajectory is precisely followed by a feedback controller. It is worth noting that the contributions of this article also include the introduction of the normalized relative coordinate, so that UAVs can obtain collision-free trajectories more conveniently in real time. The collision-free trajectories for a classical scenario of collision avoidance between two UAVs are given in the simulation part by both solving the optimal control problem and querying the prior results. The scalability of the proposed method is also verified in the simulation part by solving a collision avoidance problem among multiple UAVs.
Design of Dependable Systems on Android

In this thesis we analyze the concepts of dependability and dependable systems. We investigate methods of designing and implementing dependable systems, in general, and on the Android operating system. A literature review was carried out with two main goals. Firstly, to gain and be able to spread knowledge of dependability according to both its qualitative and quantitative definitions. Secondly, to prove our theory that there is a lack of information regarding dependable systems on Android, establishing a need for this thesis. We then attempt to apply our newly acquired knowledge in a case study, where we design and implement a dependable system, in the form of a security camera application, on Android. This gives further insight into the challenges of designing dependable systems, and through our experience we learn how to overcome these challenges. While the scope was too large to fully cover every aspect of dependability, we gained valuable knowledge that is presented in this thesis.
New Technologies for Evaluating Flexible Pavement Construction: Year 1 Report

Historically in Texas, acceptance of flexible pavement layers has been based upon density control, where the density of the layer must meet or exceed some minimum value. The Texas Department of Transportation (TxDOT) utilizes the nuclear density gauge to perform this acceptance testing for subgrade and base layers. However, TxDOT desires to find a non-nuclear method for measuring density; additionally, TxDOT desires to investigate the feasibility of a fundamental shift from density to mechanistic properties for acceptance. This report describes the search for a replacement for the nuclear gauge and also summarizes new techniques that could potentially be used for acceptance of flexible pavement construction. Currently no direct replacement exists for the nuclear density gauge; the most similar devices are the Pavement Quality Indicator and the Pavetracker Plus. However, these two devices are only applicable to hot-mix asphalt layers and are best suited for measuring differential density. Several systems exist that are not density-based that potentially could control flexible pavement construction. These systems include the Vertek and AquaPro moisture probes, the portable falling weight deflectometer, the dynamic cone penetrometer, instrumented vibratory rollers, automated proof rollers, ground-penetrating radar, and infrared imaging. The latter four systems provide near 100% coverage and could serve as screening tools to identify where to perform spot tests. This report describes preliminary testing of the most promising systems and outlines a framework for continued testing with the most promising devices for use during the remainder of this project.
Weed germinable seedbanks of rice–wheat systems in the Eastern Indo‐Gangetic Plains: Do tillage and edaphic factors explain community variation?

Abstract Zero tillage (ZT) is widely promoted throughout India's Eastern Indo‐Gangetic Plains (IGP) because of its potential to increase wheat productivity and resilience to abiotic stresses. Weeds remain a major barrier to ZT adoption, yet it remains unclear how ZT will influence weed communities in the Eastern‐IGP. The primary objective of this study was to characterise the composition of the germinable weed seedbank sampled just prior to the wheat phase of rice–wheat farms in Bihar and Eastern Uttar Pradesh, and examine whether adoption of ZT wheat has shifted weed community composition compared to conventional tillage (CT). Additionally, we examined whether edaphic properties and topography (upland vs. lowland) explain variation in germinable weed seedbank communities. In December 2014, we evaluated the germinable seedbank from 72 fields differing in their historic (>=3 year) tillage practices (ZT vs. CT) in three regions: Samastipur–Vaishali–Muzaffarpur (SVM), Ara–Buxar and Maharajgunj–Kushinagar. Weed community composition and species richness varied by region and topography. ZT adoption was associated with lower relative density of Chenopodium album in the germinable seedbank and lower emergence of Phalaris minor seedlings within farmers’ fields. In upland topographies of the SVM region, ZT adoption was also associated with greater relative abundance of Solanum nigrum in the weed seedbank. However, differences between tillage systems in individual species were not large enough to result in detection of differences at the whole‐community level. Variation in edaphic properties, most notably soil texture and pH, explained 51% of the variation in the weed seedbank community. Our work suggests several frequent but poorly understood species (e.g. Mazus pumilus and Grangea maderaspatana) in Eastern IGP for which future research should quantify their effects on crop yields. Finally, future work surveying weed species abundance at harvest could further determine the dominant problematic species in these regions.
SNMP-Based ATM Network Management

From the Publisher: Strengthen your understanding of today's most extensively used ATM management technology with this comprehensive new book. It explains the architecture of SNMP-based ATM network management technology and clarifies the details of its existing and evolving standards. You learn cost-effective enterprise network management solutions, and how various applications running over ATM are managed and deployed. Specifically, the book explains the fundamentals of the ATM network and the SNMP protocol. It overviews the details of the Physical and ATM Layer, LANE, PNNI, and shows how different standard MIBs and proprietary MIBs are used together to manage an ATM Switch. This single-source reference enables you to. >Identify network management requirements for a standard compliant network management system >Understand the requirements and impact of SNMP network management imposed on ATM system design >Trace, identify, and solve network problems using SNMP network management facilities ATM network designers and implementors, network management system designers and managers, and students and researchers in telecommunications and datacommunications will find this book to be an invaluable tool in comprehending this exciting technology.
Environment Modelling for Future ADAS Functions

This contribution proposes an environmental model which can support future Advanced Driver Assistance Systems (ADAS). These functions need a representation of not only a limited number of real world entities like other vehicles but a holistic representation of occupied and free space as well. For the proposed hybrid environmental model steps towards an efficient implementation are presented, making its application on an automotive ECU feasible. It is validated by its application in lateral and longitudinal ADAS functions for supporting a driver in construction site scenarios.
Broadband Fan Noise Generated by Small Scale Turbulence

This report describes the development of prediction methods for broadband fan noise from aircraft engines. First, experimental evidence of the most important source mechanisms is reviewed. It is found that there are a number of competing source mechanism involved and that there is no single dominant source to which noise control procedures can be applied. Theoretical models are then developed for: (1) ducted rotors and stator vanes interacting with duct wall boundary layers, (2) ducted rotor self noise, and (3) stator vanes operating in the wakes of rotors. All the turbulence parameters required for these models are based on measured quantities. Finally the theoretical models are used to predict measured fan noise levels with some success.
EVALUATION OF THE IN-DEPTH ACCIDENT INVESTIGATIONS OF THE SWEDISH NATIONAL ROAD ADMINISTRATION

During the years 1991-94, pilot schemes of in-depth accident investigations have been carried out in Sweden. Before deciding on future implementation of such investigations, the Swedish National Road Administration wanted to evaluate these activities. The evaluation was carried out through a series of interviews with members of selected teams and the end users of the results, and through analyses of the achievements and costs and benefits of the complete activity. The analyses show that the totel costs can be balanced by implementation of one single measure, like lowering speed limits through a crossing, and that several improvements relating to all stages of the activity, including the aggregation of data from several investigations, are possible. (A)
THE CAPABILITY AND ENHANCEMENT OF VDANL AND TWOPAS FOR ANALYZING VEHICLE PERFORMANCE ON UPGRADES AND DOWNGRADES WITHIN IHSDM

This report documents the results and recommendations for defining and analyzing "Vehicle Performance on Upgrades and Downgrades" on two lane rural roads. The contract objective was to develop functional requirements (and identify gaps) to enhance the capability of the Interactive Highway Safety Design Model (IHSDM) in evaluating vehicle operations on upgrades and downgrades, and to provide outputs useful for evaluating grade steepness and the location and design of climbing lanes and emergency escape ramps. The analysis procedures involve the use of two simulation programs: VDANL, a vehicle dynamics simulation; and TWOPAS, a traffic flow simulation. This report includes recommendations for the best approach for applying both VDANL and TWOPAS, the planned improvements to the programs, and data collection and research needed for software enhancement, calibration, verification and validation. Case studies of an example upgrade and downgrade are also included to help support the recommended enhancements.
Software project management - there is never enough time to do it right!

Efficiency in software development projects is examined. Project management tools— GANTT charts, program evaluation and review technique (PERT), and critical path method (CPM) are defined and discussed. Of these productivity tools GANTT charts and PERT are the most relevant. Based on an analysis by Shelmerdine (1989), six steps that pro\ide guidelines for software development are presented. These steps provide the project manager with an opportunity to produce efficiency and deliver a software development project on time. Selected project management software packages are presented.
Sulfation of Betulin with Chlorosulfonic Acid in Pyridine

It was found that when betulin is sulfated with chlorosulfonic acid in pyridine medium, 3,28-disulfate of betulin is formed in a stable salt form. Under optimal synthesis conditions: temperature 70 °C, duration 2 hours, molar ratio betulin / chlorosulfonic acid 4.0, betulin is completely converted into betulin 3.28-disulfate. The structure and composition of betulin 3,28-disulfate were confirmed by elemental analysis, IR, Raman and 13C NMR spectroscopy. Betulin 3,28-disulfate was isolated both in the form of an unstable H + -form and in a stable forms of sodium and pyridinium salts. Sodium salt of 3,28-disulfate is a needle-like crystals collected in cobweb-like aggregates. The sodium salt of 3,28-disulfate has mycellar properties, the critical concentration of mycellar formation is 0.23 mmol / L.