The complete fool: Insights and trajectories from an ancient path

This study presents a novel and accompanying exegesis which explore the fool behind the Fool by stripping away his usual costume and arenas of power and folly to expose an essence – an impulse of potentiality – that helps explain the Fool’s perpetuity and argues his critical significance as a catalyst for creative thinking.

Path planning for CNC machines considering centripetal acceleration and jerk

In planning an s-curve speed profile for a computer numerical control (CNC) machine, centripetal acceleration and its derivative have to be considered. In a CNC machine, these quantities dictate how much voltage and current should be applied to servo motor windings. In this paper, the necessity of considering centripetal jerk in speed profile generation especially in the look-ahead mode is explained. It is demonstrated that the magnitude of centripetal jerk is proportional to the curvature derivative of the path known as "sharpness". It is also explained that a proper limited jerk motion is only possible when a G2-continuous machining path is planned. Then using a simplified mathematical representation of clothoids, a novel method for approximating a given path with a sequence of clothoid segments is proposed. Using this method, a semi-parallel G2-continuous path with adjustable deviation from the original shape for a sample machining contour is generated. Maximum permissible feed rate for the generated path is also calculated.

Dynamic path determination policy for distributed multimedia content adaptation

Multimedia content adaptation allows the ever increasing variety of handheld devices such as Smartphones to access distributed rich media resources available on the Internet today. Path planning and determination is a fundamental problem in enhancing performance of distributed multimedia content adaptation systems. Most of the existing path determination mechanisms use static path determination criteria based solely on associating a path with a single behavior aggregate score. However, some criteria such as availability are best represented using different functionality rather than being accumulated into the aggregate score. Moreover, since selection criteria have different behavior towards the score, this principle need to be considered. In this paper, we propose a dynamic multi-criteria path determination policy that selects an optimal path to the content adaptation services that best meet the user preferences and QoS requirements. The performance of the proposed approach is studied in terms of score’s fairness and reliability under different variations. The results indicate that the proposed policy performs substantially better than the baseline policy.

SMEs and the potential for a collaborative path to environmental responsibility

Globally, the potential for small and medium-sized enterprises (SMEs) to collectively impact negatively on the environment is great. Therefore, the adoption, and maintenance, of environmentally responsible practices by this group of firms is especially critical. Studies of environmental practices successfully implemented by small firms have revealed that relationships with other firms, or other organizations, can contribute to greater awareness of the benefits of such activities and, therefore, enhance the possibility of environmental engagement. Collaborative relationships may provide opportunities for SMEs to overcome some of the barriers to implementing environmental initiatives associated with their size, and/or associated characteristics. This paper focuses on attitudes of SME owner-managers to a variety of environmental issues (including regulation and voluntary standards), and to collaborating with other firms (in either a formal or informal sense). The data this paper draws upon are from two waves of an ongoing longitudinal survey of New Zealand SMEs.

A genetic fuzzy system to model pedestrian walking path in a built environment

A study on the pedestrian's steering behaviour through a built environment in normal circumstances is presented in this paper. The study focuses on the relationship between the environment and the pedestrian's walking trajectory. Owing to the ambiguity and vagueness of the relationship between the pedestrians and the surrounding environment, a genetic fuzzy system is proposed for modelling and simulation of the pedestrian's walking trajectory confronting the environmental stimuli. We apply the genetic algorithm to search for the optimum membership function parameters of the fuzzy model. The proposed system receives the pedestrian's perceived stimuli from the environment as the inputs, and provides the angular change of direction in each step as the output. The environmental stimuli are quantified using the Helbing social force model. Attractive and repulsive forces within the environment represent various environmental stimuli that influence the pedestrian's walking trajectory at each point of the space. To evaluate the effectiveness of the proposed model, three experiments are conducted. The first experimental results are validated against real walking trajectories of participants within a corridor. The second and third experimental results are validated against simulated walking trajectories collected from the AnyLogic® software. Analysis and statistical measurement of the results indicate that the genetic fuzzy system with optimised membership functions produces more accurate and stable prediction of heterogeneous pedestrians' walking trajectories than those from the original fuzzy model. © 2014 Elsevier B.V. All rights reserved.

Singh v The Queen: A Path Toward Confusion, Redundancy and Doctrinal Inconsistency

In Walkington v The Queen, the English Court of Criminal Appeal enunciated criteria fordetermining whether a building contains parts thereof for purposes of ss 76 and 77 of the CrimesAct 1958 (Vic): burglary and aggravated burglary respectively. In Singh v The Queen, the VictorianCourt of Appeal was confronted with a situation in which a trespassory entry had been made into abuilding that, according to the principles enunciated in Walkington, did not consist of any part orparts. Recognizing that there was scant evidence with which to prove that the accused’s entry hadbeen accompanied by an intention to commit one of the crimes specified in ss 76 and 77, the courtnonetheless affirmed the applicant’s conviction for aggravated burglary under s 77. In so doing,the court reaffirmed its earlier decision in The Queen v Chimirri which held that a trespassoryentry into a building results in continuing trespass for as long as the accused remains in thebuilding. In Chimirri, it was further held that if an accused forms an intention to commit one ofthe specified crimes subsequent to the initial trespassory entry and enters a part of the buildingwith that intention, he or she has committed burglary, aggravated burglary, or both by virtueof the continuing trespass doctrine. The discussion to follow will demonstrate that the court’sreasoning in both Chimirri and Singh is not only flawed, but flies in the face of the very passagesfrom the judgment of Lane LJ in Walkington that were quoted with apparent approval in Singh.The discussion will further demonstrate that the continuing trespass doctrine adds nothing of valueto the law of burglary as it existed prior to Chimirri and Singh; rather, its only effect is to addconfusion and uncertainty to what had been a settled area of the law.

Rapid Physarum Algorithm for shortest path problem

As shortest path (SP) problem has been one of the most fundamental network optimization problems for a long time, technologies for this problem are still being studied. In this paper, a new method by integrating a path finding mathematical model, inspired by Physarum polycephalum, with extracted one heuristic rule to solve SP problem has been proposed, which is called Rapid Physarum Algorithm (RPA). Simulation experiments have been carried out on three different network topologies with varying number of nodes. It is noted that the proposed RPA can find the optimal path as the path finding model does for most networks. What is more, experimental results show that the performance of RPA surpasses the path finding model on both iterations and solution time. © 2014 Elsevier B.V.