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In order to efficiently lock the optimal layout strategy and avoid the trap of local optimal solution of a single SA algorithm, a layout design method of artistic elements in indoor space environment based on GA-SA hybrid algorithm is proposed. On the basis of analyzing the basic principles of indoor space environment layout, we should establish the goal of maximizing hierarchy, the relevance of artistic elements, simplicity, comfort, the distance between adjacent artistic elements and the utilization of effective activity space, and this goal should not be interfered with by space boundaries and artistic elements. The layout optimization model for artistic elements in indoor spatial environments, considering constraints such as human activity accessibility, is solved using a GA-SA hybrid algorithm. This approach involves initializing the population, defining a fitness function, and applying selection, crossover and mutation operations. The Metropolis-based jumping mechanism is incorporated to enhance solution exploration, iterating with a gradually decreasing temperature until the optimal layout is achieved. Experimental results indicate that this method effectively arranges artistic elements within indoor spaces, conserving floor area while creating a more spacious, comfortable and functionally distinct activity zone. The user satisfaction score reached 4.8, demonstrating the effectiveness of this layout strategy.

We introduce comfort decision modeling for decision problems in which an alternative is to be selected based on a measure of satisfaction we refer to as comfort. We define comfort as the difference between the payoff received by selecting a particular strategy and the worst payoff that could have been received under the manifestation of the same state-of-nature. We define the effective comfort associated with an alternative as the aggregation of an alternative’s comforts across all possible states-of-nature. We study several methods of aggregating an alternative’s individual comforts across the different states-of-nature, incorporating various types of information about the uncertainty associated with the states-of-nature. We provide a Comfort Decision Model to determine the value of alternatives utilizing attitudinal measures of the decision maker. We demonstrate a process of performing sensitivity of the resulting decision to a measure of the attitude of the decision maker. Lastly, we use an illustration to show the practicability and cogency of the new method.

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Scientific explorations and research in the Antarctic region have specific issues which need to be handled with special measures. Clothing of the scientists is one of the main problems. The clothes are expected to be enduring against compelling conditions and they must have certain features to ensure the safety and comfort of the scientists. Polar clothing is a field that is yet to be studied with different engineering approaches. To generate a better understanding, the polar clothing can be approached as a multiple criteria decision-making problem because many criteria such as layer number, material type, and waterproofness should be considered while evaluating the various alternatives. In this evaluation, expert judgments are used because no strict objective rules determine the conditions of the polar clothing. Also, possible influences among these criteria should be revealed and considered while reaching a decision. In order to deal with the uncertainty and vagueness of the expert judgments, this study proposes a Pythagorean fuzzy version of DEMATEL which is one of the well-known multiple criteria decision-making tools with the aim of evaluating the related selection attributes affecting the decision and searching for the potential influences among them. Since Pythagorean fuzzy sets provide a wider preference domain to the experts, this version was developed as a contribution to the literature. Also, the decision process is kept Pythagorean fuzzy until a conclusion is reached so that there is no early defuzzification problem. The method’s application on overcoat selection for the Antarctic region reveals the relations among attributes, such as “Water Vapor Permeability”, “All-Weather Protection” and “Performing Best in Dry/Wet State”. A sensitivity analysis is conducted to find the changes in influences.

A need exists for intuitive hand gesture machine interaction in which the machine not only recognizes gestures, but also the human feels comfortable and natural in their execution. The gesture vocabulary design problem is rigorously formulated as a multi-objective optimization problem. Psycho-physiological measures (intuitiveness, comfort) and gesture recognition accuracy are taken as the multi-objective factors. The hand gestures are static and recognized by a vision based fuzzy c-means classifier. A meta-heuristic approach decomposes the problem into two sub-problems: finding the subsets of gestures that meet a minimal accuracy requirement, and matching gestures to commands to maximize the human factors objective. The result is a set of Pareto optimal solutions in which no objective may be increased without a concomitant decrease in another. Several solutions from the Pareto set are selected by the user using prioritized objectives. Software programs are developed to automate the collection of intuitive and stress indices. The method is tested for a simulated car — maze navigation task. Validation tests were conducted to substantiate the claim that solutions that maximize intuitiveness, comfort, and recognition accuracy performance measures can be used as proxies for the minimization task time objective. Learning and memorability were also tested.

The friction inevitably exists in the nonlinear suspension system for seats. It affects dynamic characteristics of the seat with the nonlinear suspension system. Analysis of the influences of the friction on the seat vibration responses is helpful to improve comfort. Moreover, it is also an important part of promoting the industrialization application of the nonlinear suspension system for seats. In order to verify the influences, a model of the seat with the nonlinear suspension system considering friction effects was established by combining experiments. Based on the model, by using the harmonic balance method, the analytical formulas of the seat frequency-domain vibration response considering friction effects were deduced, and the influences of the friction on the frequency response characteristics of the system were simulated and analyzed. Moreover, the influences of the friction on the time-domain response characteristics were investigated. The results show that the existence of the friction can help to reduce the vibration in the peak region and to increase the system stability, however, it is not conducive to the improvement of the seat comfort under random road conditions.

Addressing the urban heat island effect is critical in mitigating the threat of heat from the perspective of land use planning and design. This paper, therefore, presents a structured review of urban heat island mitigation policy that is contained in the local-level planning policy documents and regulation of 20 large municipalities throughout the United States and Canada. It explores how the issue of the urban heat island effect is framed and approached and, therewith, facilitates an understanding of how aware municipalities are of the issue and its impacts. The review identifies a total of 307 instances of mitigation policy measures among 19 of the 20 municipalities, with the most commonly applied: approaches to mitigation being the promotion of latent heat flux, albedo modification, and provision of shade cover; and, framing contexts being public health, air quality, energy, comfort, and climate change. Although the review indicates that there is widespread awareness of the issue, it notes that only 79, or 25.7 percent, of the 307 mitigation policy measures were framed in any context. Thus, the majority of policy measures do not communicate an understanding of the significance and potential impacts of the urban heat island effect or provide a lens through which it should be perceived and, therewith, addressed. Indeed, they call for blind action. This suggests a need to promote awareness of the potential impacts of the urban heat island effect and communicate same in local planning policy documents and regulations.

The complexity of the novel integrated heating system's design requires a new control strategy that will not oppose the system functions while, at the same time, providing high efficiency, low emissions and optimal system performance. This paper will present a fuzzy logic control strategy that can be applied to integrated heating systems and a neural networks approach to hot water draw predictions. This approach differs from the conventional strategy since it takes into consideration a number of external and internal factors influencing the system's performance as well as the homeowner's distinct habits.