International Conference on Sensing Technology

  AI-Enabled Building Energy Model An AI-enabled building energy model integrates artificial intelligence, machine learning, and data-driven analytics to accurately predict, optimize, and control energy consumption in modern buildings. Unlike traditional static simulation models, AI-based energy models learn continuously from real-time data such as temperature, occupancy, HVAC performance, lighting usage, weather patterns, and sensor measurements. This allows them to identify hidden patterns, forecast energy demand, detect inefficiencies, and autonomously recommend or execute energy-saving actions. AI-driven models enhance building energy management by enabling predictive HVAC control , dynamic load forecasting , fault detection and diagnostics (FDD) , adaptive comfort modeling , and automated energy optimization . They support smart building applications, digital twins, and net-zero energy initiatives by providing highly accurate, real-time insights. These systems improve sustai...

  Emerging of Carbon Quantum Dots Carbon Quantum Dots (CQDs) have rapidly emerged as one of the most promising next-generation nanomaterials due to their unique optical, electronic, and chemical characteristics. Derived from abundant, low-toxicity carbon sources, CQDs exhibit exceptional fluorescence, biocompatibility, water solubility, and tunable surface functionalities—making them highly attractive for sustainable and scalable technological innovations. Their emergence has transformed fields including bioimaging, biosensing, drug delivery, photocatalysis, and energy conversion, replacing traditional heavy-metal semiconductor quantum dots with safer and environmentally friendly alternatives. Recent advancements in synthesis techniques—such as hydrothermal, microwave-assisted, and green biomass-based production—have significantly improved fluorescence performance, quantum yield, and functional diversity. Additionally, the ability of CQDs to absorb visible light and convert it in...

Mental Health and Vision  Mental health and vision are deeply interconnected, with each influencing the other in multiple ways. Emotional stress, anxiety, and depression can lead to visual symptoms such as eye strain, blurred vision, headaches, light sensitivity, and difficulty focusing. This happens because psychological distress affects the brain’s visual processing pathways, altering how the eyes and brain work together. Additionally, conditions like PTSD, bipolar disorder, and schizophrenia may involve visual distortions or hallucinations. On the other hand, vision impairment or chronic eye diseases can negatively impact mental health by causing social isolation, reduced independence, and emotional challenges. Poor vision can increase the risk of depression, stress, and cognitive decline. Supporting both eye health and psychological well-being is crucial for improving overall quality of life, early detection of disorders, and effective rehabilitation. Integrated care—combining ...

  Hydrogen Embrittlement Resistance – Related Description Hydrogen embrittlement resistance refers to a material’s ability to withstand the detrimental effects of hydrogen absorption or exposure without suffering a loss in mechanical strength, ductility, or structural integrity. Hydrogen atoms can diffuse into metals—especially high-strength steels, nickel alloys, titanium alloys, and certain aluminum alloys—leading to cracking, delayed fracture, or sudden brittle failure under stress. A material with high hydrogen embrittlement resistance effectively prevents or minimizes these hydrogen-induced failures through: Reduced hydrogen uptake: Dense microstructures, protective coatings, and surface treatments limit hydrogen diffusion. Stable microstructure: Alloying elements (e.g., Cr, Mo, Ni, V) improve phase stability and trap hydrogen in less harmful sites. High fracture toughness: Materials engineered for toughness can resist crack initiation and propagation. Optimiz...

  Agriculture Sector  The agriculture sector is one of the most vital components of the global economy, responsible for producing food, raw materials, and other essential goods that sustain human life and industrial development. It involves the cultivation of crops , raising of livestock , forestry , fisheries , and agro-based industries . This sector plays a crucial role in ensuring food security , employment generation , and rural development , especially in developing nations where a large portion of the population depends on farming for livelihood. Modern agriculture increasingly integrates technology , biotechnology , precision farming , smart irrigation , sustainable practices , and climate-resilient techniques to improve productivity and environmental conservation. Key areas within the agriculture sector include: Crop Production: Cultivation of grains, fruits, vegetables, and cash crops. Animal Husbandry: Breeding and management of livestock such as cattle,...

The tech behind predictive maintenance: Sensors, AI, and IoT In part 1, we explored how predictive maintenance helps reduce downtime and extend equipment life. But turning early insights into action requires the right mix of connectivity, analytics, and scalability. Whether you’re maintaining medical equipment, smart infrastructure, or industrial systems, the ability to anticipate issues depends on a tech foundation that can ingest, analyze, and act on high volumes of real-time data. Every organization has different data maturity, systems, and priorities. That’s why flexibility matters just as much as functionality. A strong predictive maintenance approach calls for a partner who can meet you where you are—with tools that scale and adapt as your needs evolve. This blog breaks down the essential capabilities behind predictive maintenance—and how OpenText’s analytics and IoT technologies deliver on them. The technology behind predictive maintenance: sensors, AI, and IoT Predictive m...