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The purpose of this paper is to introduce a new danger‐aware Operational Flight Program (OFP) for the unmanned helicopter's auto‐navigation based on the well‐known time‐triggered message‐triggered object (TMO) model.

In this design with the TMO, the danger‐awareness means two things. First, an unmanned helicopter maneuvers on safe altitudes to avoid buildings or mountains when navigating to the target position. It is assumed that minimum safe altitudes are given on evenly spaced grids and on the center points of every four adjacent grids. A three‐dimensional (3D) path‐finding algorithm using this safe‐altitude information is proposed. Second, a helicopter automatically avoids a zone with very high temperature caused by a fire.

Since the auto‐flight control system requires componentized real‐time processing of sensors and controllers, the TMO model that has periodic and sporadic threads as members, has been used in designing the OFP. It has been found that using the TMO scheme is a way to construct a very flexible, well‐componentized and timeliness‐guaranteed OFP.

As the RTOS, RT‐eCos has been used. It was developed a few years ago based on the eCos3.0 to support the real‐time thread model of the TMO scheme. To verify this navigation system, a hardware‐in‐the‐loop simulation (HILS) system also has been developed.

Designing an OFP by using the real‐time object model TMO and the proposed 3D safe path finding algorithm is a whole new effective deadline‐based approach. And the developed OFP can be used intensively in the phase of disaster response and recovery.

The purpose of this study was to examine visual merchandising (VMD) elements of apparel retail web sites, to describe the state of apparel online VMD and to develop a taxonomy of online VMD cues whose effects can be studied empirically.

A total of 50 US and 50 Korean web sites were content analyzed in terms of environment, manner of presentation, and path finding.

Results of the study revealed that many VMD features of offline stores have been implemented online. In addition, some VMD features of online apparel stores do not have a direct offline parallel. The taxonomy of VMD cues can be used by researchers to systematically study the effects of the cues following the SOR Model.

Because of the descriptive nature of the study important discussions about possible effects of various VMD elements on consumer behaviors cannot be addressed. Future research needs to investigate the effects of different VMD features introduced in the study on diverse consumer behaviors.

Using the VMD categories developed and coded in the study, online apparel retailers may be able to gain knowledge about online VMD features they can use to create desirable effects simulating those of in‐store VMD.

In spite of the strategic importance of VMD in online apparel stores, specific online VMD features that may influence consumer attitudes and behaviors have not been identified. Findings provide a comprehensive list of online VMD elements available from apparel web sites that are comparable to traditional offline VMD.

Describes the Strategic Leadership Star, which provides a logical framework which unifies the myriad of tools and techniques that are proliferating under the TQM “umbrella”, change‐management practice and modern strategic thinking. The central focus of all of these is superior performance in the creation of “value to the customer”. Consequently, customer value lies at the heart of the star. The first three points of the star – “define your purpose”, “face the customer” and “focus on essentials” ‐cover tools and techniques related to strategy formulation. These include vision, intent, mission, process streams, core competences and capabilities. The final two points ‐“create a challenge” and “trigger enthusiasm” – relate to strategy implementation. They lead back to the first point, fulfilment of the fundamental purpose, through such things as: stretch, creative tension, benchmarking, systems thinking and transforming leadership. Thus, the Strategic Leadership Star looks at strategy making from a leadership perspective. Strategic leadership requires equal attention to both path‐finding and culture‐building. This means that, in performing the strategic leadership role, strategy formulation and strategy implementation are no longer sequential and separate but are subsumed in the complementary leadership activities of strategic leadership. By following the star – i.e. using it as a daily guide to behaviour – the management of an organization would simultaneously be performing their strategic leadership role and ensuring its strategic success.

This contribution suggests a conceptual framework for using complexity to understand human interactions in learning organizations. The particular lens adopted for this purpose is that of the Chaos perspective. The following general concepts are described: discontinuous growth, attractors: their basins and landscapes, the chaordic properties of consciousness, connectivity, indeterminacy, dissipation and emergence, orienteering and path finding, holons and holonic capacity, dialogue, emergent leadership, and individual and organizational mind. Because all human individuals act as agents and are seen as part of the holon, this framework helps to prevent any split between different frameworks of causality. It exclusively supports the use of a transformative teleology.

With the rapid development of e-commerce, logistics demand is increasing day by day. The modern warehousing with a multi-agent system as the core comes into being. This paper aims to study the task allocation and path-planning (TAPP) problem as required by the multi-agent warehouse system.

The TAPP problem targets to minimize the makespan by allocating tasks to the agents and planning collision-free paths for the agents. This paper presents the Hierarchical Genetic Highways Algorithm (HGHA), a hierarchical algorithm combining optimization and multi-agent path-finding (MAPF). The top-level is the genetic algorithm (GA), allocating tasks to agents in an optimized way. The lower level is the so-called highways local repair (HLR) process, avoiding the collisions by local repairment if and only if conflicts arise.

Experiments demonstrate that HGHA performs faster and more efficient for the warehouse scenario than max multi-flow. This paper also applies HGHA to TAPP instances with a hundred agents and a thousand storage locations in a customized warehouse simulation platform with MultiBots.

This paper formulates the multi-agent warehousing distribution problem, TAPP. The HGHA based on hierarchical architecture solves the TAPP accurately and quickly. Verifying the HGHA by the large-scale multi-agent simulation platform MultiBots.

Leadership is a Humpty Dumpty word which people use in widely different ways. Argues that, on examination, there appear to be three main ways in which managers may exercise leadership. Two of them are specific to the manager′s nominal position. Strategic leadership, of the head, is concerned with path‐finding and culture‐building to create an effective organization. Supervisory leadership, of the hands, is concerned with adapting one′s style to the given situation in order to achieve efficient performance. The third type of leadership is more general. Inspiring leadership, of the heart, engages with people, giving them an energizing vision. All managers must exercise strategic and supervisory leadership of the head and hands – otherwise they are mere administrators. Good managers go further and inspire people with the heart – rendering their leadership transforming.

The purpose of this paper is to present a new approach for finding a minimum-length trajectory for an autonomous unmanned air vehicle or a long-range missile from a release point with specified release conditions to a destination with specified approach conditions. The trajectory has to avoid obstacles and no-fly zones and must take into account the kinematic constraints of the air vehicle.

A discrete routing model is proposed that represents the airspace by a sophisticated network. The problem is then solved by applying standard shortest-path algorithms.

In contrast to the most widely used grids, the generated networks allow arbitrary flight directions and turn angles, as well as maneuvers of different strengths, thus fully exploiting the flight capabilities of the aircraft. Moreover, the networks are resolution-independent and provide high flexibility by the option to adapt density.

As an application, a concept for in-flight replanning of flight paths to changing destinations is proposed. All computationally intensive tasks are performed in a pre-flight planning prior to the launch of the mission. The in-flight planning is based entirely on precalculated data, which are stored in the onboard computer of the air vehicle. In particular, no path finding algorithms with high or unpredictable running time and uncertain outcome have to be applied during flight.

The paper presents a new network-based algorithm for flight path optimization that overcomes weaknesses of grid-based approaches and allows high-quality solutions. The method can be applied for quick in-flight replanning of flight paths.

The purpose of this paper is to propose a path-finding algorithm to solve problems with an arbitrary load-displacement relationship which results from geometrical and material nonlinear models to simulate e.g. timber structures realistically.

A method using combined load and displacement control for the Newton method along with path-characterising measures and sub-incremention is introduced. A path-related stiffness measure is used to identify the situation when it is necessary to select the displacement control and chose the best degree of freedom as a parameter instead of the load factor. The nonlinearity index extracts information about the convergence behaviour during one incremental step. Together with the reduction of the load increments it avoids leaving the equilibrium path.

The method is discussed based on numerical examples with highly nonlinear behaviour. It is capable to solve systems with decreasing load capacity and snap-back effects.

The algorithm combines load and displacement control and adaptively choses the method and the corresponding degree of freedom and cares for reliable path following.

This research presents the results of an initial investigation on “visual merchandising” and its effects on purchase behaviour and brand recognition. The context is concessionary branded female fashion offerings within a department store. The research utilises semi‐structured interviews with a small sample of female undergraduate students. The interviews incorporated the use of stimulus material – photographs taken of concessions in a department store some 150 miles away from the research location. The results suggest that the themes that linked most strongly to purchase intention were: merchandise colours, presentation style, awareness of fixtures, path finding, sensory qualities of materials and lighting. Initial findings suggest that liking of display does not totally determine purchase, but does make it four times more likely.