Tomographic Proximity Imaging Using Conductive Sheet for Object Tracking

This paper proposes a proximity imaging sensor based on a tomographic approach with a low-cost conductive sheet. Particularly, by defining capacitance density, physical proximity information is transformed into electric potential. A novel theoretical model is developed to solve the capacitance density problem using the tomographic approach. Additionally, a prototype is built and tested based on the model, and the system solves an inverse problem for imaging the capacitance density change that indicates the object’s proximity change. In the evaluation test, the prototype reaches an error rate of 10.0–15.8% in horizontal localization at different heights. Finally, a hand-tracking demonstration is carried out, where a position difference of 33.8–46.7 mm between the proposed sensor and depth camera is achieved at 30 fps.

Energi Terbarukan dari Jerami Padi : Review Potensi dan Tantangan Bagi Indonesia

Straw is a waste produced from the threshing and harvesting of rice. So far, rice straw has only been removed. In fact, it can be used as a potential energy source. This paper aims to examine the potential of rice straw as a renewable energy source in Indonesia. Opportunities and challenges were evaluated based on extensive and in-depth literature review. The paper discussed rice straw potential, its characteristics and benefits of using straw energy. Technology to convert rice straw into energy was also discussed. Results showed that renewable energy potential of rice straw is 28.8 TJ/year. Conversion technologies that can be applied include densification, combustion, gasification, and biogas. The biggest challenge for using rice straw energy is collection and transportation. Densification may overcome density problem by producing high quality pellets or briquettes that reduce transportation and storage costs. Straw characteristics need to be improved to increase its combustion properties.

Nuclear level density and related physics

The knowledge of the level density as a function of excitation energy and nuclear spin is necessary for the description of nuclear reactions and in many applied areas. We discuss the level density problem as a part of the general understanding of mesoscopic systems with strong interactions. The underlying physics is that of quantum chaos and thermalization which allows one to use statistical methods avoiding full diagonalization. The resulting level density is well described by the constant temperature model in agreement with experimental data. We discuss the effective temperature parameter and show that it is not related to the pairing phase transition being analogous to the limiting temperature in particle physics. Other aspects of underlying physics include the collective enhancement of the level density, random coupling of individual spins and the role of incoherent collision-like interactions.