Pradhan B.,Sudan University of Science and Technology
Environmental and Ecological Statistics | Year: 2011
Landslides are very common natural problems in the Selangor area of Malaysia due to the improper use of landcover and tropical rainfall. There are many landslide susceptibility analyses such as statistical, bivariate and data mining approaches exist in the literature. This paper presents the use of fuzzy logic relations for landslide susceptibility mapping on part of Selangor area, Malaysia, using a Geographic Information System (GIS) and remote sensing data. At first, landslide locations were identified in the study area from the interpretation of aerial photographs and satellite images, supported by extensive field surveys. Topographic and geological data and satellite images were collected, processed, and constructed into a spatial database using GIS and image processing. Thirteen landslide conditioning factors such as slope gradient, slope exposure, plan curvature, altitude, stream power index, topographic wetness index, distance from drainage, distance from road, lithology, distance from faults, soil, landcover and normalized difference vegetation index (ndvi) were extracted from the spatial database. These factors were analyzed using fuzzy logic relations to produce the landslide susceptibility maps. Using the landslide conditioning factors and the identified landslides, the fuzzy membership values were calculated. Then fuzzy algebraic operators were applied to the fuzzy membership values for landslide susceptibility mapping. Finally, the ROC curves for all landslide susceptibility models were drawn and the area under curve values were calculated. Landslide locations were used to validate results of the landslide susceptibility maps and the validation results showed 94% accuracy for the fuzzy gamma operator employing all parameters produced in the present study as the landslide conditioning factors. Results showed that, among the fuzzy relations, in the case in which the gamma operator (λ= 0.975) showed the best accuracy (94.73%) while the case in which the fuzzy algebraic Or was applied showed the worst accuracy (84.76%). The landslide susceptibility maps produced by the fuzzy gamma operators shows similar trends as those obtained by applying logistic regression procedure by the same author and indicate that fuzzy relations results perform slightly better than the earlier method. Qualitatively, the model yields reasonable results which can be used for preliminary land-use planning purposes. © 2010 Springer Science+Business Media, LLC.
Okot D.K.,Sudan University of Science and Technology
Renewable and Sustainable Energy Reviews | Year: 2013
This paper gives a review of small hydropower technology. A Small hydropower (SHP) plant uses impulse or reaction turbines and is mainly 'run-off-river'. SHP technologies currently used in generating electricity for rural electrification in both developed and underdeveloped countries are helping to slow down climatic change, creating employment opportunities, and are having low maintenance costs (but high capital costs). © 2013 Elsevier Ltd.
Agency: NSF | Branch: Continuing grant | Program: | Phase: AISL | Award Amount: 1.11M | Year: 2012
Expanding on the encouraging outcomes of an NSF-funded conference, this three-year project led by the National Center for Science and Civic Engagement at Harrisburg University of Science and Technology, in collaboration with the Koshland Science Museum of the National Academy of Sciences, will explore and evaluate ways to support new collaborations between professionals in institutions of higher education and informal STEM education around areas of common interest. The primary goal is to develop the educational infrastructure to grow and efficiently sustain multiple cross-organizational partnership activities at the intersection of learning about science, society and civic engagement around such possible topics as energy, environment, genetics, earth resources, computers and ethics, nanotechnology, etc.
The initiative is: 1) creating a joint organizing secretariat to provide communications and support through low-cost shared services for at least six partnerships around the country; 2) providing partnership support and technical assistance to seed the six national partnerships, and 3) sharing evaluation and analysis services across all the partnerships. The outcomes of the work pertain to improvements in professional knowledge and practice in higher education and informal science education, as well as the improvement of learning by undergraduates and by the general public.
Agency: NSF | Branch: Continuing grant | Program: | Phase: TUES-Type 3 Project | Award Amount: 3.50M | Year: 2012
In this project the National Center for Science and Civic Engagement (NCSCE) is continuing to catalyze and sustain pedagogical and curricular transformation on a large scale through its Science Education for New Civic Engagements and Responsibilities (SENCER) Program. It is building on prior results and accomplishments in empowering educators to help students in American colleges employ focused and connected learning in the science, mathematics, engineering, and technology (STEM) disciplines to engage with important issues facing our democracy. A key goal of this project is to expand SENCERs community of practice to achieve a transformative tipping point in undergraduate STEM instruction and learning.
SENCER models apply an outside - in approach from the science of learning to the learning of science, framing STEM learning within compelling civic challenges. The intellectual merit of this effort consists in empowering educators to help students in American colleges employ focused learning in the STEM disciplines to engage with great issues facing our democracy. The broader impacts of this project include strengthening our democracy by enhancing the scientific and technological literacy of the American people supporting civic engagement, and sustaining a program that helps achieve these important goals.
Five goals define the reach of this 4-year project:
1. Expand participation in the SENCER Program to reach transformative scale by involving faculty teams from more than 20% of US colleges and universities in national and regional programs in new course and program design, active learning pedagogies, and civic engagement.
2. Increase the intensity and scope of follow-up activities to institutionalize reforms by organizing intensive implementation webinars, linked-in discussion groups, and deploying leadership fellow co-mentors to strengthen implementation outcomes.
3. Disseminate scholarship, materials, and other resources to strengthen connections with the wider education community by mounting a models to materials initiative to populate the SENCER digital library collection with easy-to-adapt and use collections of course materials, labs, assessments, civic engagement projects, and related resources.
4. Broaden assessment to measure and promote enduring understandings by collaborating with the College Board to enable targeted assessment (connected to the disciplines in which SENCER courses are taught) that measures learning of unifying scientific concepts, science practices, and issues involving science, technology and society.
5. Engage in formal planning to assure sustainability, leadership succession, and growth by designing and implementing a multi-phased sustainability plan. The plan includes strategies and mechanisms for program development, finance, governance, leadership succession, and acquisition of intramural and extramural support to grow a robust community of reformers well after NSF funding has ceased.
Agency: NSF | Branch: Standard Grant | Program: | Phase: I-Corps | Award Amount: 50.00K | Year: 2014
Educators or administrators invested in improving student outcomes in STEM, are constantly looking for proven, evidence-based, trusted sources worthy of their time and investment. They are aware of pedagogical advancements and are willing to do the work necessary to implement innovative practices. However, at many institutions, the financial climate and lack of professional development funding evidences the need for lower cost, yet high quality experiences and materials. For those who have no support, or must attend a disciplinary meeting instead with their limited allowance, webinars and e-friendly publications specifically provide accessible options to support their own professional development. This includes full-time faculty and the growing number of adjuncts. This proposal extends the benefits of a proven strategy by utilizing new technological platforms to promote broader adoption, increase equitable access, and promote program availability. Widely available and interactive webinars provide people with limited time or funds the opportunity to connect with experts from around the country for a reasonable cost and on a specific topic of need. Expanded applications of the proposed approach (Science Education for New Civic Engagements and Responsibilities) will lead to an exponentially larger number of students with strong scientific and quantitative literacy and more practitioners aware of an approach that responds to the challenges they face daily.
Since 2001 the Science Education for New Civic Engagements and Responsibilities (SENCER) project and the National Center for Science and Civic Engagement has developed and disseminated a range of educational products and professional development programs that support the improvement of formal and informal science education, including over 50 course models, backgrounder essays, peer-reviewed articles, residential and non-residential institutes and workshops, and a signature assessment tool (the SENCER SALG-Student Assessment of Learning Gains). All publications are currently digitized, tagged and searchable, and included in a web-accessed digital library. In the projects most recent iteration new products are in development, including a webinar series, a series of workshops for faculty and administrators, a SENCER handbook, and course modules called pearls of practice. This team believes that several of these products have commercial potential, either as benefits of a paid membership, and/or for individual download and sale.
Agency: NSF | Branch: Standard Grant | Program: | Phase: TUES-Type 2 Project | Award Amount: 550.00K | Year: 2013
The project Engaging Mathematics: Building a National Community of Practice, is a faculty development and dissemination initiative, which is expanding the work of the NSF funded project Science Education for New Civic Engagements and Responsibilities (SENCER) by increasing the use of the SENCER model to create, implement, and sustain reforms in mathematics education. SENCER focuses on learning mathematics and science content through real world problems and engaging students in course work that is framed within complex civic issues. Engaging Mathematics is creating a wider community of mathematics scholars within SENCER, capable of implementing and sustaining curricular reforms and broadening SENCER impacts. The project offers a persistent and recurring program of national dissemination which includes developing assessment tools to monitor students perceptions of the usefulness of mathematics, their interest and confidence in doing mathematics, the students growth in knowledge content, and their ability to apply mathematics to better understand complex civic issues.
Engaging Mathematics is a cooperative program between three lead institutions, Metropolitan State University, LaGuardia Community College, and the United States Military Academy and four partner institutions to develop and assess curricula that teach students mathematics through civic issues. Mathematics faculty not already affiliated with SENCER will be invited and encouraged to use the materials developed through the project and adapt them to their unique institutional needs.
The project provides an opportunity to develop faculty capacity to connect learning in mathematics courses to real and relevant local, regional, national and global issues and thus greatly improve students retention of specific mathematics concepts and skills, along with their understanding of the role of mathematical modeling and quantitative literacy in everyday life. Engaging Mathematics is producing adaptable mathematics curricula that use the framework of civic issues to study mathematics and its real-world applications and utilize active, inquiry-based pedagogies. The Engaging Mathematics community of practice is generating durable collaborations among faculty members and institutions, fostering cross-fertilization and adoption of innovative courses and practices, enabling effective assessment and disseminating materials to the larger mathematics education community. The impact of the project is helping students appreciate the value and power of mathematics, regardless of their fields of study, and to enable undergraduates to use skills and dispositions developed in these courses to have greater and more effective engagement with the complex civic issues that face them as members of society.
Sudan University of Science and Technology | Date: 2014-04-14
The present disclosure relates to methods and systems for magnetic nanoparticle temperature imaging. Particularly, the present methods involve applying different combinations of magnetic fields to magnetic nanoparticles placed in a one-dimensional space, collecting AC magnetization signals of the magnetic nanoparticles, and analyzing the collected signals to obtain in vivo temperature information of the one-dimensional space. Different exciting magnetic fields are applied to the magnetic nanoparticles, so that one-dimensional temperature imaging is transformed into single-point temperature measurement of each minizone, and one-dimensional temperature imaging can be precisely and quickly achieved without knowing the concentration distribution of the magnetic nanoparticles.
Sudan University of Science, Technology and University of Brunei Darussalam | Date: 2015-12-28
Methods, systems, program products are described to create a social network based on dynamic interests of users and using ad-hoc networking. A user of mobile device can identify another user who is close by and has similar interests. Dynamic interests of the users can be extracted or identified based on mobile usage, browsing history, places traveled, and other user actions. Users are notified if another user who is similar more than a threshold is present nearby. The system also facilitates communication between users by way of chatting, file sharing, image sharing etc.
Sudan University of Science and Technology | Date: 2014-03-25
Provided is a flywheel energy storage device including a radial magnetic gear, the radial magnetic gear includes an inner rotor, an outer rotor and N_(1 )first magnetic pole adjustment sheets embedded in a first magnetic pole adjustment sheet base; a disc-type magnetic gear electric motor includes a first stator disc, a first rotor disc, a second stator disc, a second rotor disc and a third rotor disc, the first stator disc with the first rotor disc form a first disc-type electric motor, the second stator disc with the second rotor disc form a second disc-type electric motor, and a disc-type magnetic gear is formed by the first rotor disc, the second rotor disc and the third rotor disc, and the first disc-type electric motor, the second disc-type electric motor and the disc-type magnetic gear are couple with one another to form the disc-type magnetic gear electric motor.
Sudan University of Science and Technology | Date: 2015-05-29
A system for providing a fine-grained indoor location-based social network (LBSN), the invention leverages the crowd-sensed data collected from a plurality of users mobile devices during the check-in operation and knowledge extracted from current LBSNs to associate a place with its name and semantic fingerprint. This semantic fingerprint is used to obtain a more accurate list of nearby places as well as automatically detect new places with similar signatures. A novel algorithm for handling incorrect check-ins and inferring a semantically-enriched floorplan is proposed as well as an algorithm for enhancing the system performance based on the user implicit feedback.