Small Scale Melting Platforms for Problem Solving

2008 ◽  
pp. 93-99
Author(s):  
M. J. Snyder ◽  
David McEnroe
Keyword(s):  
Problem Solving ◽  
Small Scale

scholarly journals The Effect of Problem Solving Course on Pre-Service Teachers’ Beliefs about Problem Solving in School Mathematics and Themselves as Problem Solvers

2018 ◽  
Vol 12 (2) ◽  
pp. 141-159
Author(s):  
Ljerka Jukić Matić
Keyword(s):  
Problem Solving ◽  
Mathematics Teachers ◽  
Teaching Practice ◽  
School Mathematics ◽  
Small Scale ◽  
Heuristic Strategies ◽  
Teachers Beliefs ◽  
Before And After ◽  
Problem Solvers ◽  
Positive Effect

Problem solving in schools begins with mathematics teachers. The degree to which mathematics teachers are prepared to teach for, about and through problem solving influences on their implementation of problem solving in school. We conducted a small scale study where we examined the effect of implementation of heuristic strategies and Polya’s steps in mathematics method course. We assessed pre-service teachers’ knowledge and attitudes about them as problem solvers before and after the course. Moreover we assessed their beliefs of problem solving in school mathematics. Those beliefs were assessed in two occasions: right after the course and after finished teaching practice. Although students’ knowledge on problem solving was improved, the results of students’ beliefs show that it is important that pre-service teachers, and consequently in-service teachers, are constantly reminded on the positive effect of constructivist and inquiry-based approach on teaching mathematics.

Problem‐solving strategies for small‐scale emerging commercial mango farmers in Venda

1998 ◽  
Vol 15 (3) ◽  
pp. 471-489 ◽  
Author(s):  
Marijke D'Haese ◽  
Johan van Rooyen ◽  
Guido van Huylenbroeck ◽  
Luc D'Haese
Keyword(s):  
Problem Solving ◽  
Small Scale ◽  
Problem Solving Strategies

scholarly journals Path Planning and Vehicle Scheduling Optimization for Logistic Distribution of Hazardous Materials in Full Container Load

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Huo Chai ◽  
Ruichun He ◽  
Changxi Ma ◽  
Cunjie Dai ◽  
Kun Zhou
Keyword(s):  
Problem Solving ◽  
Path Planning ◽  
Multiobjective Optimization ◽  
Hazardous Materials ◽  
Path Selection ◽  
Decision Makers ◽  
Vehicle Scheduling ◽  
Logistic Distribution ◽  
Small Scale ◽  
Scheduling Plan

Mathematical models for path planning and vehicle scheduling for logistic distribution of hazardous materials in full container load (FCL) are established, with their problem-solving methods proposed. First, a two-stage multiobjective optimization algorithm is designed for path planning. In the first stage, pulse algorithm is used to obtain the Pareto paths from the distribution center to each destination. In the second stage, a multiobjective optimization method based on Nondominated Sorting Genetic Algorithm II (NSGA-II) is designed to obtain candidate transport paths. Second, with analysis on the operating process of vehicles with hazardous materials in FCL, the vehicle scheduling problem is converted to Vehicle Routing Problem with Time Windows (VRPTW). A problem-solving method based on estimation of distribution is adopted. A transport timetable for all vehicles based on their transport paths is calculated, with participation of the decision-makers. A visual vehicle scheduling plan is presented for the decision-makers. Last, two examples are used to test the method proposed in this study: distribution of hazardous materials in a small-scale test network and distribution of oil products for sixteen gas stations in the main districts of Lanzhou city. In both examples, our method is used to obtain the path selection and vehicle scheduling plan, proving that validity of our method is verified.

An Outline of a Series of Diversified Process Simulation (DIPOS) Experiments

1982 ◽  
Vol 26 (11) ◽  
pp. 954-958
Author(s):  
Erik Hollnagel
Keyword(s):  
Problem Solving ◽  
Process Simulation ◽  
Small Scale ◽  
Data Recording ◽  
Series Of Experiments ◽  
Machine Systems

This paper describes a framework for small scale experiments on man-machine systems. Four basic techniques relying on reconstruction, discrimination, prediction and problem solving are discussed together with suggestions for a series of experiments. Finally, the data recording requirements from the various parts of a DIPOS system are discussed in detail.

Motivating STEM Studies Through a Space Exploration Robotics Summer Camp

2016 ◽  
Author(s):  
Sida Du ◽  
Tom Ebert ◽  
Ismayuzri Bin Ishak ◽  
Jihang Li ◽  
Xiaoyang Mao ◽  
...  
Keyword(s):  
Problem Solving ◽  
Original Work ◽  
Summer Camp ◽  
Space Exploration ◽  
Team Building ◽  
Space Mission ◽  
Small Scale ◽  
Spatial Systems ◽  
Hands On ◽  
Institute Of Technology

In order to motivate the pursuit of and interest in a STEM curriculum for 12–17 year olds, an interactive space exploration robotics camp was developed by the Robotics and Spatial Systems Laboratory at the Florida Institute of Technology. The camp incorporated hands-on activities to explain robots and their practical uses. Problem solving with the versatile robot became the underlying theme of the camp under the guise of a space mission to Jupiter’s moon, Europa. Team building exercises were designed and executed during the camp to teach about engineering and problem solving. Through teamwork, discussions, patience, and dexterity the two teams of the camp successfully completed the simulated mission to save the fictitious base on Europa. The summer camp curriculum was original work developed by RASSL to provide young people with an introduction to robotics. This paper discusses the robot kit development, the activities created for the week, the group competitions, the insight learned by RASSL, and the participant feedback about the camp. This work may be used as a template for creating a small scale robotics camp hosted by a university or high school robotics lab or club.

scholarly journals Logic engineering in medicine

1995 ◽  
Vol 10 (2) ◽  
pp. 153-179 ◽  
Author(s):  
Peter J. F. Lucas
Keyword(s):  
Problem Solving ◽  
Medical Knowledge ◽  
Medical Problem ◽  
Small Scale ◽  
Knowledge Based Systems ◽  
Types Of Knowledge ◽  
Knowledge Based ◽  
Powerful Means ◽  
Solid Foundation ◽  
Insight Into

AbstractThe safety-critical nature of the application of knowledge-based systems to the field of medicine requires the adoption of reliable engineering principles with a solid foundation for their construction. Logical languages with their inherent, precise notions of consistency, soundness and completeness provide such a foundation, thus promoting scrupulous engineering of medical knowledge. Moreover, logic techniques provide a powerful means for getting insight into the structure and meaning of medical knowledge used in medical problem solving. Unfortunately, logic is currently only used on a small scale for building practical medical knowledge-based systems. In this paper, the various approaches proposed in the literature are reviewed, and related to the various types of knowledge and problem solving employed in the medical field. The appropriateness of logic for building medical knowledge-based expert systems is further motivated.

scholarly journals KABOOM: An Agent-Based Model for Simulating Cognitive Sale in Team Problem Solving

2019 ◽  
Author(s):  
Christopher McComb ◽  
Kathryn Jablokow ◽  
Samuel Lapp
Keyword(s):  
Problem Solving ◽  
Cognitive Style ◽  
Computational Models ◽  
Cognitive Styles ◽  
Small Scale ◽  
Design Team ◽  
Agent Based Model ◽  
Behavioral Experiments ◽  
Agent Based ◽  
Team Organization

The performance of a design team is influenced by each team member's unique cognitive style - i.e., their preferred manner of managing structure as they solve problems, make decisions, and seek to bring about change. Cognitive style plays an important role in how teams of engineers design and collaborate, but the interactions of cognitive style with team organization and processes have not been well studied. The limitations of small-scale behavioral experiments have led researchers to develop computational models for simulating teamwork; however, none have modeled the effects of individuals' cognitive styles. This paper presents KABOOM (KAI Agent-Based Organizational Optimization Model), the first agent-based model of teamwork to incorporate cognitive style. In KABOOM, heterogeneous agents imitate the diverse problem-solving styles described by Kirton's Adaption-Innovation construct, which places each individual somewhere along the spectrum of cognitive style preference. Using the model, we investigate the interacting effects of a team's communication patterns, specialization, and cognitive style composition on design performance. By simulating cognitive style in the context of team problem solving, KABOOM lays the groundwork for the development of team simulations that reflect humans' diverse problem-solving styles.

The plight of dairy farmers and their cows

2021 ◽  
Vol 11 (4) ◽  
pp. 1-27
Author(s):  
Chubashini Suntharalingam ◽  
Keng Kok Tee
Keyword(s):  
Problem Solving ◽  
Marketing Channel ◽  
Product Diversification ◽  
Small Scale ◽  
Dairy Farmers ◽  
Content Type ◽  
Sustainable Solutions ◽  
Fresh Milk ◽  
Small Scale Farmers ◽  
Small Scale Dairy

Subject area Entrepreneurship, Small Business, Small-scale Dairy Farmers Study level/applicability This case is appropriate for undergraduate final year/senior as well as graduate-level programme students. Case overview This case explores the life of Saravanan, a small-scale dairy farmer in Malaysia. He inherited the business from his father. Small-scale farmers in Malaysia own farms with 30 (or fewer) milking cows. Over the years, milk consumption had been on the rise, but production was less than promising. Besides low-quality milk, Saravanan often experienced issues of low milk yield. Selling fresh milk as his only source of income and the milk collection centre as his sole marketing channel, Saravanan was caught in a financially tight situation when product diversification and marketing initiatives were limited. Saravanan’s problems began with rejected fresh milk, which landed him with zero income for the day. This issue was detected when the authorities identified a few contaminated batches of milk during a site visit. The problem compounded when Saravanan had to settle three months’ debt with the feed supplier on the same day. Saravanan’s predicament echoed the plight faced by small-scale farmers in Malaysia. After managing the farm for more than 30 years, Saravanan had plans to pass it to his son, Mugunthan. However, doubts about the sustainability of the business remained. Would Mugunthan suffer the same dire fate? Would he be able to find a way out? Based on the problem-solving framework, the case attempts to identify and assess the problems faced by small-scale dairy farmers in Malaysia, and at the same time, to suggest solutions that will ensure the sustainability of their business. Expected learning outcomes After attempting the case, students should learn to empathise with the hardship small-scale dairy farmers endure in the pursuit of their businesses, analyse issues and determine the root causes of the problems faced by small-scale dairy farmers in Malaysia based on the problem-solving framework, generate and justify sustainable solutions to solve the problems faced by these dairy farmers and present the case, discuss and work in teams, and critically offer sustainable solutions based on framework and theories. Supplementary materials Teaching notes are available for educators only. Subject code CSS 3: Entrepreneurship.

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