The National Science Foundation established the Rising Scholars program at Purdue University to promote the cultivation of professional mentor support networks for qualified low socio-economic students in STEM fields....
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Database lectures in the informatics engineering study program teach the life cycle of database system development, both in terms of concepts, utilization, administration to database application systems to be studied,...
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Traditional evaluation of reinforced rebar in concrete elements involves destructive methods that may harm the *** paper introduces a framework that adopts non-destructive techniques to classify rebar in reinforced co...
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Traditional evaluation of reinforced rebar in concrete elements involves destructive methods that may harm the *** paper introduces a framework that adopts non-destructive techniques to classify rebar in reinforced concrete *** framework integrates Ground Penetrating Radar(GPR)with deep learning to automate rebar detection and analysis in concrete *** framework consists of four stages:Data sets Creation,Data sets Processing,Steel Rebar Detection Model,and Transfer *** deep learning models are tested to choose the highest-performing *** YOLO v8 model outperforms Faster R-CNN and YOLO *** selected YOLO v8 model is trained on experimental and site data and then tested on real data from the building to validate the model’s accuracy and ability to classify rebar *** GPR with deep learning can potentially improve the accuracy and efficiency of rebar detection in structural assessments.
Suspension is a very important part of the functionality of a car. It supports the comfort of the passengers and can be used to improve the car's stability. If a magnetorheological (MR) damper is used, the damping...
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Creating an Inclusive, Vibrant Learning Environment within a Large, Software engineeringprogram - Experiential Learning Experiences Created for Students, Faculty, and Senior Design Coaches & Sponsors This present...
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Creating an Inclusive, Vibrant Learning Environment within a Large, Software engineeringprogram - Experiential Learning Experiences Created for Students, Faculty, and Senior Design Coaches & Sponsors This presentation describes several initiatives currently underway within a large software engineering (SE) department at a private university within the northeast US to positively affect levels of inclusiveness within the department's learning environment. Information gathered from faculty, staff, student interviews and focus group discussions, as well as a department goal to improve female freshmen retention in the SE major motivated the SE department chair, departmental academic advisors and faculty, and the college's women in computing director to launch this set of aligned activities in collaboration with the NSF ADVANCE funded program (NSF #1209115) at the university level. The resulting activities ideally enhance diversity and inclusion for students from all underrepresented groups in the program with a focus on groups based on gender. Four experiential learning experiences have been created and concurrently implemented within the SE department to promote an inclusive academic environment. These include: (1) faculty targeted discussions and summer readings, (2) an interactive workshop designed for all first year SE students, (3) a workshop created for the coaches and sponsors, most of who are not regular RIT employees, who directly mentor student teams for the two‐semester senior project course, and (4) the development of a resource flowchart which supports students, faculty, and staff in maintaining an inclusive learning environment within the department. The approach used in creating each is adaptive and the four resulting products are multi‐faceted in regards to target audience, modality of learning experience, and composition of creation team. Furthermore, we will discuss key metrics aligned with the department's goal to measure impacts resulting from these
Settling basin is widely used and has been researched for a long time, yet the relationship between its trap efficiency and morphology is scarcely studied. This paper probes the effect of the morphology-hydrodynamics ...
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Introduction: Kyphosis is a physiological curvature of the thoracic spine. This curvature assumes values between 20 and 40° Cobb angle in its normal state. The early detection of kyphosis is essential for an effe...
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The treatment of heavy metals in water is of high importance worldwide,and different treatment types have been *** use of plant material is becoming more and more important,and oilseed crops biomass have been investig...
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The treatment of heavy metals in water is of high importance worldwide,and different treatment types have been *** use of plant material is becoming more and more important,and oilseed crops biomass have been investigated in terms of phytoremediation and biosorption *** article is a review of the literature reporting the applications in 10 different plants and evaluating the removal efficiencies for 12 metals,including the findings of 81 *** olifera and Helianthus annuus are the most studied plants,whereas Cu(21.9%),Cd(18.5%),and Pb(19.9%)are the most studied *** a result,it was found that more than 90%of Pb,Cu,Cd,Fe,Zn,Ni,Cr,Sr and Mn showed removals in their *** the same time,the variables most related to the efficiency of metal removal are pH,temperature,and contact *** article includes a review of the biosorption isotherms used in the different studies.
This paper proposes an innovative procedure for designing efficient biomass-biofuel logistics networks(BBLNs).This procedure is based on the two-stage network data envelopment analysis(TSN-DEA)models that have been de...
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This paper proposes an innovative procedure for designing efficient biomass-biofuel logistics networks(BBLNs).This procedure is based on the two-stage network data envelopment analysis(TSN-DEA)models that have been developed to provide specific process guidance for the managers to improve the efficiency of the decision-making unit(DMU)with the TSN *** crucial issue of the TSN-DEA is that the overall efficiency score depends on the DMUs under ***,the rankings for the DMUs generated by the TSN-DEA model are *** a result,the TSN-DEA-based ranking methods are *** TSN-DEA’s inconsistency frequently makes it difficult for decision-makers to select the top-rated *** develop the transformed TSN(T-TSN)DEA method by applying the multi-criteria DEA model to overcome this *** proposed method transforms the DMUs with any number of inputs,intermediate measures,and outputs in the TSN process,through the multi-objective programming model with a minimax objective approach,into the DMUs with two inputs and one output in the single-stage network(SSN)***,the well-known DEA methods for the SSN,such as the cross-efficiency and super-efficiency DEA methods,can be applied to evaluate and rank the transformed DMUs more *** exhibit the applicability of the proposed approach for the BBLN design problem.A case study of South Carolina in the USA demonstrates that the proposed method performs well in identifying efficient BBLN schemes more consistently than the traditional TSN-DEA.
The main objective of this paper is to investigate the influence of inertia of nonlinear springs on the dispersion behavior of discrete monoatomic chains with lumped and distributed *** developed model can represent t...
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The main objective of this paper is to investigate the influence of inertia of nonlinear springs on the dispersion behavior of discrete monoatomic chains with lumped and distributed *** developed model can represent the wave propagation problem in a non-homogeneous material consisting of heavy inclusions embedded in a *** inclusions are idealized by lumped masses,and the matrix between adjacent inclusions is modeled by a nonlinear spring with distributed ***,the model is capable of depicting the wave propagation in bi-material bars,wherein the first material is represented by a rigid particle and the second one is represented by a nonlinear spring with distributed *** discrete model of the nonlinear monoatomic chain with lumped and distributed masses is first considered,and a closed-form expression of the dispersion relation is obtained by the second-order Lindstedt-Poincare method(LPM).Next,a continuum model for the nonlinear monoatomic chain is derived directly from its discrete lattice model by a suitable continualization *** subsequent use of the second-order method of multiple scales(MMS)facilitates the derivation of the corresponding nonlinear dispersion relation in a closed *** novelties of the present study consist of(i)considering the inertia of nonlinear springs on the dispersion behavior of the discrete mass-spring chains;(ii)developing the second-order LPM for the wave propagation in the discrete chains;and(iii)deriving a continuum model for the nonlinear monoatomic chains with lumped and distributed ***,a parametric study is conducted to examine the effects of the design parameters and the distributed spring mass on the nonlinear dispersion relations and phase velocities obtained from both the discrete and continuum *** parameters include the ratio of the spring mass to the lumped mass,the nonlinear stiffness coefficient of the spring,and the wave amplitude.
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