The eye is one of the most complex organs in the human body, containing rich and critical physiological information (e.g., intraocular pressure, corneal temperature, and pH) as well as a library of metabolite biomarkers (e.g., glucose, proteins, and specific ions). Smart contact lenses (SCLs) can serve as a wearable intelligent ocular prosthetic device capable of noninvasive and continuous monitoring of various essential physical/biochemical parameters and drug loading/delivery for the treatment of ocular diseases. Advances in SCL technologies and the growing public interest in personalized health are accelerating SCL research more than ever before. Here, the current status and potential of SCL development through a comprehensive review from fabrication to applications to commercialization are discussed. First, the material, fabrication, and platform designs of the SCLs for the diagnostic and therapeutic applications are discussed. Then, the latest advances in diagnostic and therapeutic SCLs for clinical translation are reviewed. Later, the established techniques for wearable power transfer and wireless data transmission applied to current SCL devices are summarized. An outlook, future opportunities, and challenges for developing next‐generation SCL devices are also provided. With the rise in interest of SCL development, this comprehensive and essential review can serve as a new paradigm for the SCL devices.

https://authors.library.caltech.edu/113331/1/Advanced%20Materials%20-%202022%20-%20Zhu%20-%20Lab%E2%80%90on%E2%80%90a%E2%80%90Contact%20Lens%20%20Recent%20Advances%20and%20Future%20Opportunities%20in%20Diagnostics%20and.pdf

Lab‐on‐a‐Contact Lens: Recent Advances and Future Opportunities in Diagnostics and Therapeutics

The two most important objectives of the data center operators are to reduce operating cost and minimize carbon emission. Consolidation of data centers is not always possible and big enterprise end up having data centers in multiple locations across different cities and countries. In such a diverse deployment manual monitoring is not a cost effective solution. ASHRAE [1] suggested considering the energy efficiency as key factor in data center design. Our initial experiments reveal that a reduction in one degree Celsius of data center room temperature results in 4% excess consumption of electricity. We developed a WSN based data center monitoring (DCM) solution which includes the hardware system and an enterprise application. We deployed the hardware system in hundreds of location at 7 different cities and monitored them from a central enterprise application dashboard. In this paper, we describe the system architecture and analyzed data that was captured for nine months. This is one of the largest real life WSN deployment and based on the result we argue that the manual monitoring cost of data centers is reduced by 80%. This deployment also helped in avoiding a significant amount of carbon emission. DCM also provides a mechanism to predict events in real time.

A Scalable WSN Based Data Center Monitoring Solution with Probabilistic Event Prediction

Performance Comparison of Diversity Combining ARQ Error Control Schemes with Multi-Packet Detection Schemes

An apparatus for automatic conversion of existing systems management software applications to run in multiple middleware runtime frameworks by automating the unification of runtime framework ontologies and isolating runtime dependent code in the build process of system management applications through the introduction of a runtime dependency processor and performing runtime dependency analysis

Apparatus and method for expanding the scope of systems management applications by runtime independence

Sensors and actuators are the fundamental constituents of a cyber physical system (CPS). Every sensors are ought to produce data. The pervasiveness of sensors, the requirement of collaborative processing of data, the historical importance of data and ever increasing different forms of user applications are not only making the data management more complex, they are also bringing more challenges in the scalability of the CPS. On the other hand, the requirement of bringing actuators to complete the feedback loop of a CPS is making it even more complex. There are three stages of complexities associated with the scalability of a CPS: firstly in the physical infrastructure of the data acquisition system, secondly in the communication mechanism and thirdly in the server and user applications. In all these three stages, the diversity, interoperability and individual capacity limitations of components play an important role in establishing the overall scalability limits of the CPS. In this paper we will systematically study how these parameters are affecting the scalability limits. Furthermore, we will also study the other existing technologies (e.g. of big data and cloud) which can be used for addressing the challenges of scalability imposed at different stages of futuristic cyber physical systems.

/pdf/on-the-scalability-of-a-cyber-physical-system-35c79q06kz.pdf

On the Scalability of a Cyber Physical System

MOJO: A Middleware That Converts Sensor Nodes into Java Objects

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MOJO: A Middleware That Converts Sensor Nodes into Java Objects