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type:Journal Article, As modern technology nodes become more susceptible to soft errors, many radiation hardened latch designs have been proposed. However, redundant circuitry used to tolerate soft errors in such hardened latches also reduces the test coverage of cell-internal manufacturing defects. To avoid potential test escapes that lead to soft error vulnerability and reliability issues, this paper proposes a novel Scan-Test-Aware Hardened Latch (STAHL). Simulation results show that STAHL has superior defect coverage compared to previous hardened latches while maintaining full radiation hardening in function mode., 24th IEEE European Test Symposium (ETS'19), May 27-31, 2019, Baden-Baden, Germany

Heat demand is a key parameter for optimizing district heating (DH) systems. A mathematical model employing the Gaussian mixture model (GMM) was developed in order to predict the heat demand in DH systems on the consumer side. Prediction of heat demands needs to consider outdoor temperature and people’s social behaviors. In order to precisely consider the effects of social behaviors, the buildings in DH systems were classified into three types: commercial buildings, office buildings and apartment buildings. The model was trained and validated based on the water flow rate and the temperatures of supply and return water in the DH system. The results showed that the model can predict the heat demand in DH systems with an uncertainty between 4-9%. According to the heat demand predicted by the developed model, the potentials of energy saving in the DH system were analyzed., QC 20130828