Scene generation is an important step of robotic drawing. Recent works have shown success in scene generation conditioned on text using a variety of approaches, with which the generated scenes cannot be revised after its generation. To allow modification on generated scenes, we model the scene generation process as a discrete event system. Instead of training text-to-pixel mappings using large datasets, the proposed approach uses object instances retrieved from the Internet to synthesize scenes. Evaluated on 128 experiments using MSCOCO evaluation dataset, the result shows the scene generation performance has been increased by 197%, 22.3%, and 55.7% compared with the state of the art approach on three standard metrics (CIDEr, ROUGH-L, METEOR), respectively. Human evaluation conducted on Amazon Mechanical Turk shows over 80% of generated scenes are considered to have higher recognizability and better alignment with natural language descriptions than baseline works.

This paper presents a novel mechanism for implementing Chaotic Pulse Position Coded Protocol data units (CPPCPs) for networking in sensor and IoT networks with thin energy budgets. The core idea of CPPCP is to encode a protocol data unit (PDU) in terms of Ultra-Wide Band (UWB) pulse train with chaotically varied inter-pulse intervals. The proposed CPPCP architecture fulfills the communication security by achieving higher randomness between different data symbols, lower probability of unambiguity, and significant energy savings by using a smaller number of pulse transmissions than the existing chaotic coding schemes in the literature. A concrete analysis for the implementation of CPPCP is provided based on the variation of pulse shape and position caused by specific hardware characteristics. A prototype sensor platform is designed for the implementation of CPPCP. Extensive simulation results are presented for evaluating the performance of the proposed architecture.

This paper develops a brand new approach towards data transfer using position-modulated pulses. The core idea is to encode a data value in terms of the time gap between two transmitted pulses whose positions are modulated accordingly. It is shown that this concept allows sending a data value using significantly less number of pulses or logical bits as used in conventional packet-based transports. Significant savings may come from the fact that it does not require the large number of preamble bits needed for synchronization in packets. Fewer pulses can lead to reduced-energy overhead compared to packets. The framework is mainly targeted towards sensing applications in which energy is a premium. Building on this fundamentally new concept, methods are developed in this paper for: 1) pulse-based transport on transmit-only links, and 2) code compression to reduce the overall energy and transmission delay. Analytical models and extensive simulations have been performed for evaluating the performance of the system relative to comparable packet-based solutions.