СОЗДАНИЕ И ИССЛЕДОВАНИЕ ГЕЛИОТЕХНОЛОГИЧЕСКОЙ УСТАНОВКИ С ПОЛИКАРБОНАТНЫМ ПОКРЫТИЕМ

The proposed solar dryer (S / D) has a polycarbonate coating, which is actually a combined dryer. By drying an agricultural products in the proposed apparatus, it is possible to get ecologically pure and high quality food. The "greenhouse effect" in S / D ensures the temperature under the glass is 15-25°C, higher than the ambient temperature. In windy weather, the product to be dried cannot be left in the open air due to strong winds, in this device drying in windy weather occurs no less intensively than in hot weather, although the air temperature in S / D is not high. During wind it is recommended to locate the S / D with the inlet towards the wind. The high drying speed occurs due to the increased convective movement. The wind creates a fan effect both at the inlet S / D and at the outlet - at the end of the pipe. In the proposed installation, it is possible to dry various agricultural products, both in direct sunlight and without them.

Dynamically structured holographic memory

We describe the DSHM (Dynamically Structured Holographic Memory) model of human memory, which uses high dimensional vectors to represent items in memory. The complexity and intelligence of human behavior can be attributed, in part, to our ability to utilize vast knowledge acquired over a lifetime of experience with our environment. Thus models of memory, particularly models that can scale up to lifetime learning, are critical to modeling human intelligence. DHSM is based on the BEAGLE model of language acquisition (Jones and Mewhort, 2007) and extends this type of model to general memory phenomena. We demonstrate that DHSM can model a wide variety of human memory effects. Specifically, we model the fan effect, the problem size effect (from math cognition), dynamic game playing (detecting sequential dependencies from memories of past moves), and time delay learning (using an instance based approach). This work suggests that DSHM is suitable as a basis for learning both over the short-term and over the lifetime of the agent, and as a basis for both procedural and declarative memory. We argue that cognition needs to be understood at both the symbolic and sub-symbolic levels, and demonstrate that DSHM intrinsically operates at both of these levels of description. In order to situate DSHM in a familiar context, we discuss the relationship between DHSM and ACT-R.

A Fan Effect for Creative Thought: Semantic Richness Facilitates Idea Quantity but Constrains Idea Quality

Creative thinking has long been associated with spreading of activation through concepts within semantic memory. Despite its theoretical importance, little is yet known about how semantic memory structure facilitates and constrains idea production. We examine one potential influence on spreading activation during divergent thinking known as the fan effect: increasing knowledge about a concept leads to increasing interference from conceptually related information. Specifically, we tested whether cue association size—an index of semantic richness reflecting the average number of elements associated with a given concept—impacts the quantity (fluency) and quality (originality) of responses generated during the alternate uses task (AUT). We hypothesized that low-association AUT cues should benefit originality at the cost of fluency because such cues are embedded within a semantic network with fewer conceptual elements, thus yielding lesser interference from closely-related concepts. This hypothesis was confirmed in three experiments. Furthermore, we found an interaction with individual differences in fluid intelligence in the low-association AUT cues, suggesting that constraints of sparse semantic knowledge can be overcome with top-down intervention. The findings indicate that semantic richness differentially impacts the quality and quantity of generated ideas, and that cognitive control processes can facilitate idea production when conceptual knowledge is limited.

Comparative Studies of RANS Versus Large Eddy Simulation for Fan–Intake Interaction

The present research applied a mixed-fidelity approach to examine the fan–intake interaction. Flow separation induced by a distortion generator (DG) is either resolved using large eddy simulation (LES) or modeled using the standard k–ω model, Spalart–Allmaras (SA) model, etc. The immersed boundary method with smeared geometry (immersed boundary method with smeared geometry (IBMSG)) is employed to represent the effect of the fan and a wide range of test cases is studied by varying the (a) height of the DG and (b) proximity of the fan to the DG. Comparisons are drawn between the LES and the Reynolds-averaged Navier–Stokes (RANS) approaches with/without the fan effect. It is found that in the “absence of fan,” the discrepancies between RANS and LES are significant within the separation and reattachment region due to the well-known limitations of the standard RANS models. “With the fan installed,” the deviation between RANS and LES decreases substantially. It becomes minimal when the fan is closest to the DG. It implies that with an installed fan, the inaccuracies of the turbulence model are mitigated by the strong flow acceleration at the casing due to the fan. More precisely, the mass flow redistribution due to the fan has a dominant primary effect on the final predictions and the effect of turbulence model becomes secondary, thereby suggesting that high fidelity eddy resolving simulations provide marginal improvements to the accuracy for the installed cases, particularly for the short intake–fan strategies with fan getting closer to intake lip.

Environmental influences on spatial memory: A study with Space Syntax

In this study we employed Space Syntax techniques to investigate the relation between environmental properties and spatial memory resulting from navigation of an unfamiliar environment. Participants first navigated two main routes in a virtual environment, memorizing the names and locations of buildings in them, and then carried out from memory a pointing task and a model-building task. In the pointing task, participants pointed more accurately to locations of high than low connectivity and integration. However, they pointed less accurately from locations of higher than lower connectivity and integration. This finding can be contextualized by broader memory phenomena (namely, the fan effect), whereby the ease of retrieval of a piece of information depends on its connections with other information. Additionally, both memory tasks here provide evidence that participants maintained the two routes they experienced as distinct representations. Together, our findings suggest that space syntax metrics, such as the connectivity and integration of locations, along with other environmental properties we explore (e.g., whether locations are experienced along the same route or not, and whether locations are intervisible) account well for the way spatial information is stored in and retrieved from memory.