Entropus: entropia ex aisthetikos

None provided

User's guide for NETS/PROSSS

Expensive analysis programs are often combined with optimization procedures to solve engineering problems. To obtain an optimal solution requires numerous iterations between the analysis program and the optimizer. This often becomes prohibitive due to the cost and amount of computer time needed to converge to an optimal solution. NETS/PROSSS was developed to address this problem. The purpose of this paper is to serve as a user's guide for NETS/PROSSS. The key features include the neural network, determining the training pairs for the neural network, and the approximated analysis/optimization process. A small problem is given to serve as an example of how to apply the system

Investigating the Relationship Between an IT Project Manager\u27s Emotional Intelligence and the Customer\u27s Perception of Success

This research focuses on the intersections of Project Management, Information Technology (IT), and Emotional Intelligence. The Project Management Institute (PMI) created the Project Management Professional (PMP) certification, which is one of the most highly regarded and sought after professional certifications (Project Management Institute 2005, p. 15-18). This certification acknowledges the holder as a knowledgeable practitioner in Project Management. The purpose behind Project Management is to obtain requirements, sometimes fluid at best, and develop solutions that are traceable by schedule and cost controls. This approach allows a Project Manager to monitor and control the project through successful completion. However, the PMI also notes that the main aspects of the Project Manager\u27s job are team leadership and communication. These aspects provide the art of Project Management. The Standish Group published an article noting that less than 20 percent of IT projects are successful. Some of this failure is due to the dynamic nature of IT projects. This research focuses on the question of whether or not an IT Project Manager\u27s Emotional Intelligence influences the customer\u27s perception of project success. In this research, ninety-two IT projects were evaluated. The evaluation included project demographics and the use of the Emotional Quotient Inventory (EQ-i) to assess the IT Project Manager\u27s Emotional Quotient and the five subscales (Intra-Personal, Inter-Personal, Stress Management, Adaptability, and General Mood). A separate customer satisfaction survey was sent to the projects\u27 customers. A total of fifty-six complete datasets were used in this research. The results showed no statistical correlation between the EQ-i scales Interpersonal, Intrapersonal, Stress Management, and Adaptability scores and the customer\u27s perception of project success. A marginal negative statistical correlation, at the 0.1 level, was discovered between an IT Project Manager\u27s Total EQ score and the customer\u27s perception of project success. A strong negative statistical correlation, at the 0.01 level, was discovered between the EQ-i scale General Mood and the customer\u27s perception of project success. These findings are important to the practitioners of Project Management in the IT field because they help managers understand how customers\u27 perceptions influence a project\u27s success. Additional research opportunities are addressed in the final chapter

Efficacy of Fungicides for Managing Powdery Mildew in Pumpkin — 2014

This is a compilation of 30 research trial reports from four land-grant universities in the Midwestern United States. Crops include cantaloupe, pickling cucumber, pepper, potato, pumpkin, summer squash and zucchini, sweet corn, tomato, and watermelon. Somecrops were evaluated in high tunnels or hoophouses. Most trials evaluated different cultivars or varieties. One report addressed plant spacing for sweet corn and one addressed soil block for production of tomato seedlings. A list of vegetable seed sources and a list of other online sources of vegetable trial reports are also included

Late Blight Resistant Tomato Variety Evaluation Conducted with Organic Production Practices — 2014

This is a compilation of 30 research trial reports from four land-grant universities in the Midwestern United States. Crops include cantaloupe, pickling cucumber, pepper, potato, pumpkin, summer squash and zucchini, sweet corn, tomato, and watermelon. Somecrops were evaluated in high tunnels or hoophouses. Most trials evaluated different cultivars or varieties. One report addressed plant spacing for sweet corn and one addressed soil block for production of tomato seedlings. A list of vegetable seed sources and a list of other online sources of vegetable trial reports are also included

Reducing neural network training time with parallel processing

Obtaining optimal solutions for engineering design problems is often expensive because the process typically requires numerous iterations involving analysis and optimization programs. Previous research has shown that a near optimum solution can be obtained in less time by simulating a slow, expensive analysis with a fast, inexpensive neural network. A new approach has been developed to further reduce this time. This approach decomposes a large neural network into many smaller neural networks that can be trained in parallel. Guidelines are developed to avoid some of the pitfalls when training smaller neural networks in parallel. These guidelines allow the engineer: to determine the number of nodes on the hidden layer of the smaller neural networks; to choose the initial training weights; and to select a network configuration that will capture the interactions among the smaller neural networks. This paper presents results describing how these guidelines are developed

Reduced Basis Approaches in Time-Dependent Non-Coercive Settings for Modelling the Movement of Nuclear Reactor Control Rods

In this work, two approaches, based on the certified Reduced Basis method, have been developed for simulating the movement of nuclear reactor control rods, in time-dependent non-coercive settings featuring a 3D geometrical framework. In particular, in a first approach, a piece-wise affine transformation based on subdomains division has been implemented for modelling the movement of one control rod. In the second approach, a "staircase" strategy has been adopted for simulating the movement of all the three rods featured by the nuclear reactor chosen as case study. The neutron kinetics has been modelled according to the so-called multi-group neutron diffusion, which, in the present case, is a set of ten coupled parametrized parabolic equations (two energy groups for the neutron flux, and eight for the precursors). Both the reduced order models, developed according to the two approaches, provided a very good accuracy compared with high-fidelity results, assumed as "truth" solutions. At the same time, the computational speed-up in the Online phase, with respect to the fine "truth" finite element discretization, achievable by both the proposed approaches is at least of three orders of magnitude, allowing a real-time simulation of the rod movement and control

Measure transformation and efficient quadrature in reduced-dimensional stochastic modeling of coupled problems

Coupled problems with various combinations of multiple physics, scales, and domains are found in numerous areas of science and engineering. A key challenge in the formulation and implementation of corresponding coupled numerical models is to facilitate the communication of information across physics, scale, and domain interfaces, as well as between the iterations of solvers used for response computations. In a probabilistic context, any information that is to be communicated between subproblems or iterations should be characterized by an appropriate probabilistic representation. Although the number of sources of uncertainty can be expected to be large in most coupled problems, our contention is that exchanged probabilistic information often resides in a considerably lower dimensional space than the sources themselves. In this work, we thus use a dimension-reduction technique for obtaining the representation of the exchanged information. The main subject of this work is the investigation of a measure-transformation technique that allows implementations to exploit this dimension reduction to achieve computational gains. The effectiveness of the proposed dimension-reduction and measure-transformation methodology is demonstrated through a multiphysics problem relevant to nuclear engineering

Dynamic response of an accelerator driven system to accelerator beam interruptions for criticality

Subcritical nuclear reactors driven by intense neutron sources can be very suitable tools for nuclear waste transmutation, particularly in the case of minor actinides with very low fractions of delayed neutrons. A proper control of these systems needs to know at every time the absolute value of the reactor subcriticality (negative reactivity), which must be measured by fully reliable methods, usually conveying a short interruption of the accelerator beam in order to assess the neutron flux reduction. Those interruptions should be very short in time, for not disturbing too much the thermal magnitudes of the reactor. Otherwise, the cladding and the fuel would suffer from thermal fatigue produced by those perturbations, and the mechanical integrity of the reactor would be jeopardized. It is shown in this paper that beam interruptions of the order of 400 ms repeated every second would not disturb significantly the reactor thermal features, while enabling for an adequate measurement of the negative reactivity