As new fabrication and integration technologies reduce the cost size of micro-sensors wireless interfaces, it becomes feasible to deploy densely distributed networks sensors actuators. These systems promise revolutionize biological, earth, environmental monitoring applications, providing data at granularities unrealizable by other means. In addition challenges miniaturization, system architectures network algorithms must be developed transform vast quantity raw sensor into a manageable...

Advances in microsensor and radio technology enable small but smart sensors to be deployed for a wide range of environmental monitoring applications. The low-per node cost allows these wireless networks actuators densely distributed. nodes dense coordinate perform the distributed sensing actuation tasks. Moreover, as described this paper, can also exploit redundancy provided by high density so extend overall system lifetime. large number systems preclude manual configuration, dynamics...

Advances in micro-sensor and radio technology will enable small but smart sensors to be deployed for a wide range of environmental monitoring applications. The low per-node cost allow these wireless networks actuators densely distributed. nodes dense coordinate perform the distributed sensing tasks. Moreover, as described this paper, can also exploit redundancy provided by high density, so extend overall system lifetime. large number systems preclude manual configuration, dynamics...

Current climate control systems often rely on building regulation maximum occupancy numbers for maintaining proper temperatures. However, in many situations, there are rooms that used infrequently, and may be heated or cooled needlessly. Having knowledge regarding being able to accurately predict usage patterns allow significant energy-savings by intelligent of the L-HVAC systems. In this paper, we report deployment a wireless camera sensor network collecting data large multi-function...

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Recently, several studies have analyzed the statistical properties of low power wireless links in real environments, clearly demonstrating differences between experimentally observed communication and widely used simulation models. However, most these not performed depth analysis temporal links. These high impact on performance routing algorithms.Our first goal is to study communications. We short term issues, like lagged autocorrelation individual links, correlation reverse consecutive same...

Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and produced by widely used simulation models. Our first goal is to provide sound foundations for conclusions drawn from these extracting relationships location (e.g. distance) reception rate) using non-parametric statistical techniques. The objective a probability density function that completely characterizes the relationship. Furthermore, we study...

Heating, cooling and ventilation accounts for 30% energy usage 50% of the electricity in United States. Currently, most modern buildings still condition rooms assuming maximum occupancy rather than actual usage. As a result, are often over-conditioned needlessly. This paper proposes an HVAC control strategy based on prediction real time monitoring via sensor network cameras. shows 20.0% potential savings while maintaining ASHRAE building standards.

We propose modeling environmental noise in order to efficiently and accurately simulate wireless packet delivery. measure traces many different environments three algorithms from these traces. evaluate applying signal-to-noise curves comparison existing simulation approaches used EmStar, TOSSIM, ns2. accuracy using the Kantorovich-Wasserstein distance on conditional delivery functions. demonstrate that a closest-fit pattern matching (CPM) model can capture complex temporal dynamics which do...

Thermal comfort has traditionally been measured solely by temperature. While other methods such as Predicted Mean Vote (PMV) are available for measuring thermal comfort, the parameters required an accurate value overly complicated to obtain and require a great deal of sensory input. This paper proposes bypass cumbersome or simplistic measures bringing humans in loop. By using sensors, we can accurately adjust temperatures improve occupant comfort. We show that occupants more comfortable with...

Buildings account for 40% of US primary energy consumption and 72% electricity. Of this total, 50% the consumed in buildings is used Heating Ventilation Air-Conditioning (HVAC) systems. Current HVAC systems only condition based on static schedules; rooms are conditioned regardless occupancy. By conditioning when necessary, greater efficiency can be achieved. This paper describes POEM, a complete closed-loop system optimally controlling actual occupancy levels. POEM comprised multiple parts....

In order to achieve sustainability, steps must be taken reduce energy consumption. particular, heating, cooling, and ventilation systems, which account for 42% of the consumed by US buildings in 2010 [8], made more efficient. this paper, we demonstrate ThermoSense, a new system estimating occupancy. Using are able condition rooms based on usage. Rather than fully conditioning empty or partially filled spaces, can control near real-time estimates occupancy temperature using schedules learned...

Heating, cooling and ventilation accounts for 35% energy usage in the United States. Currently, most modern buildings still condition rooms assuming maximum occupancy rather than actual usage. As a result, are often over-conditioned needlessly. Thus, order to achieve efficient conditioning, we require knowledge of occupancy. This article shows how real time data from wireless sensor network can be used create models, which turn integrated into building conditioning system usage-based demand...

As an integral part of reliable communication in wireless networks, effective link estimation is essential for routing protocols. However, due to the dynamic nature channels, accurate quality remains a challenging task. In this article, we propose 4C, novel estimator that applies prediction along with estimation. Our approach data driven and consists three steps: collection, offline modeling, online prediction. The collection step involves gathering data, based on our analysis set guidelines...

Recently, significant efforts have been done to improve quality of comfort for commercial buildings' users while also trying reduce energy use and costs. Most these concentrated in efficient control the HVAC (Heating, Ventilation, Air conditioning) system, which is usually core system charge controlling conditioning ventilation. However, practice, systems alone cannot every aspect that affects occupants. Modern lighting, blind window systems, considered as independent when present, can...

Recently, several wireless sensor network studies demonstrated large discrepancies between experimentally observed communication properties and produced by widely used simulation models. Our first goal is to provide sound foundations for conclusions drawn from these extracting relationships location (e.g. distance) reception rate) using non-parametric statistical techniques. The objective a probability density function that completely characterizes the relationship. Furthermore, we study...

Large Language Models (LLMs), including the LLaMA model, have exhibited their efficacy across various general-domain natural language processing (NLP) tasks. However, performance in high-performance computing (HPC) domain tasks has been less than optimal due to specialized expertise required interpret model responses. In response this challenge, we propose HPC-GPT, a novel LLaMA-based that supervised fine-tuning using generated QA (Question-Answer) instances for HPC domain. To evaluate its...

As new fabrication and integration technologies reduce the cost size of micro-sensors wireless interfaces, it becomes feasible to deploy densely distributed networks sensors actuators. These systems promise revolutionize biological, earth, environmental monitoring applications, providing data at granularities unrealizable by other means. In addition challenges miniaturization, system architectures network algorithms must be developed transform vast quantity raw sensor into a manageable...

Link quality estimation is a fundamental component of the low-power wireless network protocols and essential for routing in Wireless Sensor Networks (WSNs). However, accurate link remains challenging task due to notoriously dynamic unpredictable environment. In this article we argue that, addition current quality, prediction future more important protocol establish low-cost delivery paths. We propose apply machine learning methods predict near facilitate utilization intermediate links with...