International Conference on Sensing Technology

Optimal Sensor Placement   Optimal Sensor Placement refers to the strategic determination of sensor locations and configurations to maximize system performance, data quality, and reliability while minimizing cost, redundancy, and uncertainty. It ensures that sensors are positioned where they can capture the most informative signals, achieve full coverage, and enable accurate monitoring, detection, or control of a target system. In engineering and sensing applications, optimal sensor placement is widely used to enhance measurement accuracy , fault detection , structural health monitoring , environmental sensing , medical diagnostics , and smart infrastructure . The approach balances spatial coverage, sensitivity, robustness, and real-time responsiveness under practical constraints such as limited sensor numbers, power consumption, communication bandwidth, and environmental interference. Modern optimal sensor placement strategies leverage mathematical optimization , information th...

  Vision Language Models Vision–Language Models (VLMs) are advanced artificial intelligence systems designed to jointly understand and reason across visual and textual information . By integrating computer vision with natural language processing, VLMs can interpret images, videos, and visual scenes while simultaneously understanding and generating human language. These models learn shared representations that align visual elements (objects, actions, spatial relationships) with linguistic concepts, enabling seamless cross-modal understanding. VLMs power a wide range of applications, including image captioning, visual question answering, multimodal search, scene understanding, document analysis, assistive technologies, and human–AI interaction . In sensing and perception-driven domains, Vision–Language Models enhance context-aware interpretation, semantic scene analysis, and intelligent decision-making by bridging raw visual data with high-level language-based reasoning. Their abi...

Nothing OS 4.0 arrives on CMF phones, bringing Android 16 and smarter features CMF has begun rolling out Nothing OS 4.0, bringing Android 16 to the CMF Phone 1 and Phone 2 Pro. The update delivers a cleaner interface, smarter multitasking, deeper dark mode, smoother animations and enhanced customisation features. CMF has officially started rolling out Nothing OS 4.0 to its smartphone lineup, marking a major software upgrade for both the CMF Phone 1 and the newer CMF Phone 2 Pro. The update is being released in phases, with Phone 1 users receiving it first, followed by the Phone 2 Pro in early January. A refined interface Built on Android 16, Nothing OS 4.0 focuses heavily on refinement rather than reinvention. The update introduces a cleaner and more balanced interface, with refreshed system icons, redesigned status indicators and a simplified Quick Settings layout. These changes aim to make everyday interactions feel calmer, clearer and more intuitive. You may be interested in 23% OFF...

AI-powered LED system delivers stable wireless power for indoor IoT devices The proposed OWPT system ensures seamless power transmission in both dark and bright environments, can target multiple targets at varying distances, and is low-cost and robust. Credit: Institute of Science Tokyo The world's first automatic and adaptive, dual-mode light-emitting diode (LED)-based optical wireless power transmission system, that operates seamlessly under both dark and bright lighting conditions, has been developed by scientists at Science Tokyo. The system, along with artificial intelligence-powered image recognition, can efficiently power multiple devices in order without interruption. Because it is LED-based, it offers a low-cost and safe solution ideal for building sustainable indoor Internet of Things infrastructure. With the rapid development of Internet of Things (IoT), the demand for efficient and flexible power solutions is also increasing. Traditional power delivery methods, such as...

  Adjustable Acoustic Metamaterials Adjustable Acoustic Metamaterials are engineered materials designed to dynamically control, manipulate, and adapt sound and vibration in ways not achievable with conventional materials. Unlike static acoustic metamaterials, adjustable (or tunable) acoustic metamaterials can change their acoustic properties in real time in response to external stimuli, enabling flexible and multifunctional sound control. These metamaterials are structured at subwavelength scales and allow active tuning of parameters such as sound absorption, transmission, reflection, frequency bandgaps, and wave direction. Adjustability is typically achieved through mechanical reconfiguration, electrical control, thermal variation, magnetic fields, fluidic systems, or smart materials such as piezoelectrics, shape-memory alloys, and elastomers. Key capabilities include adaptive noise reduction, reconfigurable sound insulation, frequency-selective filtering, wave steering, and acous...

  Intelligent Waste Management Intelligent Waste Management refers to the use of advanced technologies to optimize the collection, segregation, recycling, and disposal of waste in a smart, efficient, and sustainable manner. It integrates IoT-enabled sensors , data analytics , artificial intelligence (AI) , and automation to monitor waste generation in real time and improve decision-making. Smart bins equipped with fill-level, weight, and odor sensors help schedule dynamic collection routes, reducing fuel consumption, operational costs, and greenhouse gas emissions. AI-driven systems enable automated waste sorting, enhancing recycling efficiency and material recovery. Intelligent waste management also supports predictive analytics to forecast waste trends, detect illegal dumping, and optimize infrastructure planning. When combined with GIS, cloud platforms, and mobile applications , it enables transparent monitoring, citizen engagement, and data-driven policy formulation. Overal...