Public interest vs private profit : striking the right balance in media ownership and control by Ratnatunga, Sinha.

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Utilizing virtual Singapore platform to quantify benefits of autonomous vehicles by Mehta, Priyanka, Abraham, Anuj, Vyas, Pranjal, Muhammad Usman, Agatheswaran, Rajashree Sundaram, Shashwat, Dauwels, Justin

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Increased Wage Inequality via ICTs: Making a Case for Human Capital Investment by Loh, Yvonne Ai-Chi, Chib, Arul

“…We advocate for further research to measure the impact of worker ownership in enterprises on productivity growth, and hence equality objectives.…”
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Dip pen nanolithography and its potential for nanoelectronics by Rosner, Bjoern, Disawal, Sandeep, Zhang, Hua, Rendlen, Jeff, Duenas, Tenisa, Shile, Roger, Fragala, Joe, Elghanian, Robert, Demers, Linette M., Amro, Nabil A.

“…Its main advantages are very high resolution, the unique capability to deposit many different materials directly onto a substrate and low cost of ownership. We present here new research and development efforts that demonstrate the potential of DPN as a tool to produce nanoelectronic devices and circuits. …”
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Non-blind audio-watermarking using compression-expansion of signals by Foo, Say Wei

“…As such, the possession of the original signal becomes important in the proof of ownership. In this paper, a non-blind audio-watermarking method is proposed. …”
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Using EV Battery Packs for Vehicle-to-Grid Applications: An Economic Analysis by Lav, Agarwal, Wang, Peng, Lalit, Goel

“…Incentives through V2G can lead to reduced EV ownership cost, thus increasing their acceptance and overall penetration. …”
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Fingerprinting deep neural networks - a DeepFool approach by Wang, Si, Chang, Chip Hong

“…In this paper, we utilize the geometry characteristics inherited in the DeepFool algorithm to extract data points near the classification boundary of the target model for ownership verification. As the fingerprint is extracted after the training process has been completed, the original achievable classification accuracy will not be compromised. …”
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A buyer-traceable DNN model IP protection method against piracy and misappropriation by Wang, Si, Xu, Chaohui, Zheng, Yue, Chang, Chip Hong

“…The data-augmented images with a wrong label associated with a buyer are injected into the training dataset. The ownership and distributorship of a backdoor-trained user model can be validated by querying the suspect model with a set of composite triggers. …”
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