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The purpose of this research paper is to recover the autonomous flight performance of a mini unmanned aerial vehicle (UAV) via stochastically optimizing the wing over certain parameters (i.e. wing taper ratio and wing aspect ratio) while there are lower and upper constraints on these redesign parameters.

A mini UAV is produced in the Iskenderun Technical University (ISTE) Unmanned Aerial Vehicle Laboratory. Its complete wing can vary passively before the flight with respect to the result of the stochastic redesign of the wing while maximizing autonomous flight performance. Flight control system (FCS) parameters (i.e. gains of longitudinal and lateral proportional-integral-derivative controllers) and wing redesign parameters mentioned before are simultaneously designed to maximize autonomous flight performance index using a certain stochastic optimization strategy named as simultaneous perturbation stochastic approximation (SPSA). Found results are used while composing UAV flight simulations.

Using stochastic redesign of mini UAV and simultaneously designing mini ISTE UAV over previously mentioned wing parameters and FCS, it obtained a maximum UAV autonomous flight performance.

Permission of the directorate general of civil aviation in the Republic of Türkiye is essential for real-time UAV autonomous flights.

Stochastic redesign of mini UAV and simultaneously designing mini ISTE UAV wing parameters and FCS approach is very useful for improving any mini UAV autonomous flight performance cost index.

Stochastic redesign of mini UAV and simultaneously designing mini ISTE UAV wing parameters and FCS approach succeeds confidence, highly improved autonomous flight performance cost index and easy service demands of mini UAV operators.

Creating a new approach to recover autonomous flight performance cost index (e.g. satisfying less settling time and less rise time, less overshoot during flight trajectory tracking) of a mini UAV and composing a novel procedure performing simultaneous mini UAV having passively morphing wing over certain parameters while there are upper and lower constraints and FCS design idea.

The purpose of this paper is to formulate and solve a new emergency evacuation planning problem. This problem addresses the needs of both able and disabled persons who are evacuated from multiple pick-up locations and transported using a heterogeneous fleet of vehicles.

The problem is formulated using a mixed integer linear programming model and solved using a heuristic algorithm. The authors analyze the selected heuristic with respect to key parameters and use it to address theoretical and practical case studies.

Evacuating people with disabilities has a significant impact on total evacuation time, due to increased loading/unloading times. Additionally, increasing the number of large capacity vehicles adapted to transport individuals with disabilities benefits total evacuation time.

The mathematical model is of high complexity and it is not possible to obtain exact solutions in reasonable computational times. The efficiency of the heuristic has not been analyzed with respect to optimality.

Solving the problem by a heuristic provides a fast solution, a requirement in emergency evacuation cases, especially when the state of the theater of the emergency changes dynamically. The parametric analysis of the heuristic provides valuable insights in improving an emergency evacuation system.

Efficient population evacuation studied in this work may save lives. This is especially critical for disabled evacuees, the evacuation of whom requires longer operational times.

The authors consider a population that comprises able and disabled individuals, the latter with varying degrees of disability. The authors also consider a heterogeneous fleet of vehicles, which perform multiple trips during the evacuation process.

In this paper, an emerging state-of-the-art machine intelligence technique called the Hierarchical Temporal Memory (HTM) is applied to the task of short-term load forecasting (STLF). A HTM Spatial Pooler (HTM-SP) stage is used to continually form sparse distributed representations (SDRs) from a univariate load time series data, a temporal aggregator is used to transform the SDRs into a sequential bivariate representation space and an overlap classifier makes temporal classifications from the bivariate SDRs through time. The comparative performance of HTM on several daily electrical load time series data including the Eunite competition dataset and the Polish power system dataset from 2002 to 2004 are presented. The robustness performance of HTM is also further validated using hourly load data from three more recent electricity markets. The results obtained from experimenting with the Eunite and Polish dataset indicated that HTM will perform better than the existing techniques reported in the literature. In general, the robustness test also shows that the error distribution performance of the proposed HTM technique is positively skewed for most of the years considered and with kurtosis values mostly lower than a base value of 3 indicating a reasonable level of outlier rejections.

Degree programs in Information Systems typically include a course on Systems Analysis and Design which is challenging to teach for instructors and challenging to grasp for learners. The central issue is that conditional knowledge, or when to use concepts and techniques in this domain, is seldom, if ever, taught. This chapter explains the ongoing evolution of a course on Systems Analysis and Design with the goal of developing conditional knowledge in students. It follows the process of changing course objectives, developing expert models of problem solving, experiencing challenges in delivering this kind of content, and reflecting on new insights that will improve course design in the future.

The purpose of this paper is to highlight the paradox of gifted leadership – namely that executives who are gifted in leading their organizations may not be able to develop leaders under them – creating a challenge in developing the next generation of leaders.

To help confront this paradox the paper highlights insights for how executives approach developing others by drawing on assessment data from over 100 executive leaders and 900 observers. Additionally, the paper reflects on current research and observations on talent management best practices and offers a call‐to‐action for establishing a leadership development framework.

Senior leaders do not get too close or too personal with their co‐workers and this isolation can inhibit their ability to identify first hand individuals who might be in the up‐and‐coming next generation of leaders. Likewise, there is a perception that executives are more concerned with advancing their own careers than helping others move up the ladder. Finally, in environments with informal talent management processes, executives can be drawn towards finding and grooming mirror images of themselves or worse may succumb to organizational politics and favoritism when it comes to promotions and advancements.

There are multiple “influencers” that come into play to shape an executive's behavior and perceptions in their struggle to be an effective leader. Hopefully, with a better awareness of these influencers we can bring balance to how we define (and perhaps influence) effective executive leadership.

The landscape of learning and teaching is changing through the recognition of a diversity of learning types, new student generations as well as advances in technology and theory in education. While claims for interdisciplinary research and inquiry-based approaches, as well as integration of new media and technologies are at the heart of current discourses on teaching and learning, most educational activities still take place in a conservative format of the hierarchical teacher–student relationship in rather traditional educational facilities. As an architect and anthropologist, but most of all, as an academic who is devoted to teaching and research, I believe in teaching and learning experiences that are based on theoretical and methodological explorations in different disciplines in order to develop practical, research and critical thinking skills among the students. Students are motivated and engaged when they understand why information is important for them. Through an inquiry-based approach, abstract information becomes tangible and contextualized. In this chapter, I will first discuss common characteristics of our learners, today’s generation of students (the Millennials). Second, I will conceptually locate my approach to teaching among inquiry-based approaches such as Situated Learning, Learner-centered Teaching and Universal Design for Learning, which I see as complementary to each other. Third, I will explain my course design and give an account of two courses as examples for Inquiry-based Learning in action. Although these courses address architecture students, the Inquiry-based Learning and teaching experiences from these courses will inform a larger, more general audience interested in the subject matter.

This paper examines the impact of information supply and distribution on managerial information processing using a model derived from the organizational information processing (OIP) framework developed by Daft and Weick. The model suggests that more supply and distribution of information will lead to greater information use and the acquisition of more knowledge, given that the organization's information processing capabilities match its requirements. The model was extended to include the influence of social factors (i.e., culture and power) and the level of knowledge in the organization. Product managers in two consumer goods organizations providing different levels of information technology support were studied to compare the effect of different approaches to supplying and distributing information. The focused comparison case research method was used, in which sites are selected differing only on the dimensions of interest, namely information supply and distribution. The cases provided evidence to support the model. The company which had more data and analytic tools available for its product managers used more information and knew more about the factors that influenced the marketing of its products. In addition, organizational culture and the level of knowledge at the companies affected their approach to information supply, information use, and knowledge acquisition. The results suggest that the effective use of information technology requires a combination of managing the organization culture and fitting the characteristics of information supply and distribution mechanisms to information requirements.

At a time of increasing interest in mental health in later life, the role of public health approaches is potentially heightened. This paper draws on interview data with older people living in London to consider the interplay between personal and public approaches to health and well‐being. The interviews were under taken as part of the midpoint review of the UK government's 10‐year strategy for older people (Healthcare Commission et al, 2006) and the social characteristics of London are considered.