Papers by Zulkharnain Muhammad
IoT used in healthcare introduces smart application of data retrieval from the patient remotely. ... more IoT used in healthcare introduces smart application of data retrieval from the patient remotely. This is a useful feature for remote monitoring of pateints and hospital administrations, without having nurses and doctors to be near the patient round the clock, for monitoring and getting health statistics. An IoT Device and wirelesscommunication has now become interrelated combination. Rasberry, Pi and Arduino are mostly used here. The architecture involved are usually 3 Layer, Service oriented and middle-ware based. Constrained application protocol is common here. Similarly, message queue, telemetry, extensible messaging and presence protocol are also used. Zigbee is frequently used to develop the application along with low energy Bluetooth usage. Here healthcare application point of usage is emphasized, issues and shortcomings are discussed, and thus recommnedations done.
We can now manufacture AI-based instruments. Data analytics allow for more precise and varied mea... more We can now manufacture AI-based instruments. Data analytics allow for more precise and varied measurements. This has also made the cost of the system decrease a lot. This paper discusses the latest trends in using artificial intelligence in instrumentation. It is now easier to use multiphase flow metering technology. In this system, we can easily measure the flow rates of gas, liquid, and solids in a pipeline or any system. Oil, gas and chemical industry have now started this usage. Chemical processing and mining can also use this technology. This allows for simple calculation of multiphase flows, which can be used in process optimization monitoring and control. There is a growing trend in combustion monitoring because of the use of AI. Consequently, more accurate observation and analysis of the combustion process are possible. Environmental regulations can also be easily checked. This is useful in carbon dioxide flow measurement using carbon capture and storage aspects of it.
We are now in a position to proficiently manufacture sophisticated instruments that are fundament... more We are now in a position to proficiently manufacture sophisticated instruments that are fundamentally based on artificial intelligence technologies. The implementation of advanced data analytics techniques has significantly facilitated the acquisition of measurements that are not only more precise but also remarkably varied in their scope and application. This advancement has consequently led to a substantial reduction in the overall cost associated with these intricate systems, making them more accessible. This scholarly paper aims to explore and discuss the most recent trends and developments regarding the utilization of artificial intelligence within the field of instrumentation. The utilization of multiphase flow metering technology has now become considerably easier and more user-friendly for practitioners in the field. In this innovative system, we are now able to effortlessly and accurately measure the flow rates of various substances, including gases, liquids, and solids, as they traverse through pipelines or any other comparable systems. Industries including oil, gas, and chemicals have initiated the implementation of this state-of-the-art technology in their processes. Furthermore, sectors involved in chemical processing and mining are also recognizing the potential benefits of incorporating this advanced technology into their practices. This groundbreaking approach allows for the straightforward calculation of multiphase flows, which can subsequently be utilized in the optimization of processes, as well as monitoring and control systems. There is an observable and growing trend in the realm of combustion monitoring that has emerged as a direct result of the integration of artificial intelligence methodologies. Consequently, it has become possible to achieve more accurate observations and analyses of the combustion processes involved in various industrial applications. Additionally, compliance with environmental regulations can now be efficiently monitored and checked with greater ease and accuracy. This capability proves to be particularly useful in the measurement of carbon dioxide flow, particularly within the context of carbon capture and storage technologies that are currently being developed and implemented.
Context-aware computing (CAC) represents an advanced capability of modern computing systems, allo... more Context-aware computing (CAC) represents an advanced capability of modern computing systems, allowing them to dynamically adjust and modify their operations based on the specific behaviors and needs exhibited by the user. This sophisticated technology considers a myriad of factors, including the user's geographical location, individual preferences, current activities, environmental surroundings, and social interactions, all of which play a crucial role in enhancing user experiences. By leveraging this information, CAC can effectively anticipate the requirements of the user, customize the responses it provides, and adapt its functionalities in a manner that perfectly aligns with the user's expectations and desires. The interactions facilitated by CAC are not only automatic, but are also designed to be seamless, creating a fluid experience that feels natural and intuitive for the user. This innovative computing paradigm can harness the power of artificial intelligence, machine learning, and sensor fusion, bringing together various technologies to create a cohesive system that responds intelligently to user inputs. CAC enables real-time and precise recognition of contextual information through the analysis of complex data gathered from an array of sources, making it an invaluable asset in the realm of consumer electronics. This ability is not solely a technical improvement; it represents a vital element of Human-Machine Interaction (HMI), where the lines separating human users from machines become progressively indistinct. As we continue to advance in this digital age, the implications of context-aware computing are vast and varied, influencing everything from how we interact with smartphones to how smart homes operate efficiently. The fusion of these technologies presents a promising future in which our devices not only serve us, but also understand us at a deeper level, fostering a relationship that transcends simple command and control. The way we live, work, and communicate is revolutionized by contextaware computing, which is at the forefront of innovation.
A person may be concerned about being assaulted, in any remote area of a city. Smart security sys... more A person may be concerned about being assaulted, in any remote area of a city. Smart security system is a wearable gadget to make safe, and serve as solution in this regard. This is a smart card system with integrated microprocessor. Here Internet of Things can be used, using bult-in sensor. Using this system, we can sense and respond to surroundings. The sensors used here, will be able to detect sudden unusual movement, say like a loud noise, it will then send signal to the system. Data analysis is then followed. The system will then send alert to say security personnel or make calls to the numbers specified in it. An emergency panic button is used. There is also use of GPS, to track the location of the user, and further send alert to the concerned person. Here cloud-based monitoring is used. The system uses Machine Learning Techniques, the behavior and level of safety can thus be determined. By this way Real-Time Monitoring can be done. Predictive alarms are also actuated here.
In the present work, copper metal matrix composites (CuMMCs) were developed using the electric re... more In the present work, copper metal matrix composites (CuMMCs) were developed using the electric resistance sintering (ERS) technique. Micro-particles of silica sand (5 wt%) and graphene nanopowder (0.1, 0.2, & 0.3 wt%) were added as reinforcement in the copper (Cu) matrix. Green compacts were pre-sintered at 600 • C in a tubular furnace containing N 2 gas, then finally sintered through resistance heating and conduction heating simultaneously in high-density graphite die by applying a plain direct current (200-400 A) of low voltage (3-5 V). Characterizing the hybrid composites by X-ray diffraction, energy dispersion spectroscopy, scanning electron microscopy (SEM), and Raman spectroscopy showed the presence of Cu, sand, and graphene nanopowder. A uniform dispersion of the reinforcement particles was found in the prepared composites. Further, the incorporation of 0.2 wt% graphene with a sintering temperature of 900 • C resulted in the maximum relative sintered density (RD) and hardness (RH) of 6.98 g/cm 3 and 73 HRB with a minimum wear rate (WR) of 0.00550 mg/s, respectively. In addition, the average coefficient of friction (COF) was found to be 0.44 for the composite having 0.3 wt% graphene. The RSM predicted optimum values of 7.216 g/cm 3 , 68.989 HRB, and 0.006 mg/s for RD, RH, and WR, corresponding to the 0.144 wt% graphene and 900 • C sintering temperature. The % error between the experimental and predicted RD, RH, and WR values was found to be 1.409 %, 1.950 %, and 3.01 %, respectively. Moreover, the SD values for the three output values were 0.270, 0.475, and 1.514, respectively.
We can now manufacture AI-based instruments. Data analytics allow for more precise and varied mea... more We can now manufacture AI-based instruments. Data analytics allow for more precise and varied measurements. This has also made the cost of the system decrease a lot. This paper discusses the latest trends in using artificial intelligence in instrumentation. It is now easier to use multiphase flow metering technology. In this system, we can easily measure the flow rates of gas, liquid, and solids in a pipeline or any system. Oil, gas and chemical industry have now started this usage. Chemical processing and mining can also use this technology. This allows for simple calculation of multiphase flows, which can be used in process optimization monitoring and control. There is a growing trend in combustion monitoring because of the use of AI. Consequently, more accurate observation and analysis of the combustion process are possible. Environmental regulations can also be easily checked. This is useful in carbon dioxide flow measurement using carbon capture and storage aspects of it.
We can now manufacture AI-based instruments. Data analytics allow for more precise and varied mea... more We can now manufacture AI-based instruments. Data analytics allow for more precise and varied measurements. This has also made the cost of the system decrease a lot. This paper discusses the latest trends in using artificial intelligence in instrumentation. It is now easier to use multiphase flow metering technology. In this system, we can easily measure the flow rates of gas, liquid, and solids in a pipeline or any system. Oil, gas and chemical industry have now started this usage. Chemical processing and mining can also use this technology. This allows for simple calculation of multiphase flows, which can be used in process optimization monitoring and control. There is a growing trend in combustion monitoring because of the use of AI. Consequently, more accurate observation and analysis of the combustion process are possible. Environmental regulations can also be easily checked. This is useful in carbon dioxide flow measurement using carbon capture and storage aspects of it.
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Papers by Zulkharnain Muhammad