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This technology presents an innovative mechanical and electromechanical framework engineered to automate the arduous maintenance of air conditioning systems. By seamlessly incorporating a compact mini vacuum cleaner assembly, the system interfaces directly with existing, standard air conditioning units with minimal structural modifications. The architecture automates particulate extraction by sweeping across internal filters at scheduled monthly intervals, actively capturing trapped dust and debris. This captured waste is subsequently routed and consolidated into an integrated vacuum tube storage layout, which efficiently holds debris for up to six months before requiring manual disposal. By eliminating frequent manual scrubbing and mitigating efficiency degradation caused by filter clogging, the technology ensures sustained thermal exchange efficiency and reduced power consumption.
This technology presents an innovative solar assembly and method designed to enhance the electrical efficiency of photovoltaic panels while simultaneously utilizing waste thermal energy for water heating. The system features a serpentine tube positioned beneath the solar panels through which a refrigerant circulates, absorbing excess heat and evaporating before flowing into a coiled extension located inside a condenser tank. By integrating strategically placed thermal sensors, flow-regulating switches, and an intelligent controller, the assembly dynamically monitors operating parameters and incorporates real-time weather forecasts alongside user temperature preferences to optimize thermal transfer.
This technology introduces an automated system and comprehensive method for monitoring real-time wetness levels and surface water film thickness on airport runways. By deploying an integrated network of precision surface sensors and data processing units along critical runway zones, the system continuously measures, evaluates, and logs accumulation depths caused by precipitation or drainage issues. This configuration equips airport operators and air traffic controllers with critical situational awareness to prevent hazardous phenomena like hydroplaning, ultimately optimizing aircraft landing and takeoff safety.
This technology discloses an eco-friendly geopolymer concrete composition and method of preparation that completely eliminates Portland cement while utilizing alternative fine aggregates to reduce greenhouse gas emissions. The formulation combines industrial by-products—fly ash and Ground Granulated Blast-furnace Slag (GGBS)—with alkaline activator liquids, coarse aggregates, superplasticizer, and alternative fine aggregates such as Manufactured Sand (M-Sand) and Demolished Masonry Sand (DMS) as direct replacements for conventional river sand. By optimizing the molarity of the alkaline solution and dry-to-wet pan-mixing sequences, the concrete achieves full mechanical strength under ambient curing conditions without requiring energy intensive thermal or steam curing.
This technology discloses an organic eutectic phase change material (PCM) engineered specifically for low-temperature thermal energy storage and passive cooling applications. Formulated from organic fatty acids, the eutectic mixture exhibits a tailored phase change melting temperature of 20.86 °C combined with a remarkably high latent heat storage capacity of 156.99 J/g. The material demonstrates robust thermal and chemical stability through rigorous accelerated thermal cycling tests, providing a sustainable, ecofriendly solution to store thermal energy and reduce grid power dependence for cooling without releasing pollutants or greenhouse gases.
This technology discloses an advanced modified chemical reduction method for synthesizing high-quality graphene from graphene oxide (GO) while preserving essential functional groups and structural integrity. Unlike conventional reduction processes that completely strip critical oxygen moieties, this tailored chemical technique controls the reduction state to maintain vital functional groups such as hydroxyl, epoxy, and alkoxy groups, along with a precise interlayer spacing of 3.35 Å and an optimal carbon-to-oxygen (C/O) ratio. The resulting modified graphene exhibits enhanced dispersibility, structural stability, and surface reactivity, providing an efficient and scalable chemical route for high-performance nanomaterial synthesis.
This technology discloses an advanced modulation technique and pulse-width modulation (PWM) control strategy for a gridconnected, three-phase quasi-Z-source linesynchronized inverter system. The innovation optimizes the shoot-through state insertion within the inverter's switching sequence to achieve continuous conduction mode, precise voltage boost capability, and seamless AC grid synchronization. By suppressing commonmode voltage spikes and minimizing harmonic distortion, the control scheme significantly enhances power transformation efficiency, reduces thermal stress on switching components, and maintains stable grid integration across fluctuating renewable energy inputs.
This technology discloses an automatic, low-cost seed-sowing robot designed to automate agricultural seeding processes while optimizing operational efficiency. Built on a closed structural frame mounted on motorized wheels, the robot integrates a seed storage tank, a microcontroller with a Bluetooth communication module, a camera module, and stepper and DC motors for precise motion and dispensing. By employing a distance sensor interfaced with a registered control device, the machine accurately regulates the required distance between sown seeds based on specific crop parameters, eliminating manual labor dependence and resolving uneven spacing issues inherent in traditional farming methods.
This technology discloses an advanced image processing system and computer-implemented method for enhancing and accurately detecting the Inferior Alveolar Nerve Canal (IAC) in panoramic dental images obtained from various imaging modalities. The core architecture integrates new-intensity-range contrast adjustments, global histogram equalization, and block-by-block Rayleigh distribution-based contrast enhancement alongside frequency domain Laplacian filtering to intensify subtle edge details. By further incorporating Gaussian low-pass, homomorphic, and sharpening filters, the system significantly improves visualization and precise localization of the nerve canal without loss of structural details or degradation of image quality.