This work presents the design of a bipolar junction transistor (BJT)-based temperature sensor with a sigma-delta analog-to-digital converter ($\Sigma \Delta $ADC) fabricated in a 0.6$\mu $m BiCMOS process. The sensor utilizes a proportional to absolute temperature (PTAT) current source embedding an auto-zeroing amplifier to bias the BJT core while effectively reducing offset errors. Additionally, this work achieves the combination of the temperature-sensing BJT core and the$\Sigma \Delta $modulator, utilizing dynamic element matching (DEM) technique to accurately generate three different ratios (1:9, 9:1, 5:5) of BJT bias currents to cooperate with the modulator for modulation. The innovative modulation method in this work can reduce the errors caused by the operational amplifier offset voltage and BJT mismatch, completing the digitization of temperature without the need for a reference voltage source. Moreover, the sensor integrates a complete digital signal processor (DSP), allowing on-chip calibration by adjusting the operating cycle of the modulator and the initial value of the counter to obtain accurate and directly readable temperature data. It operates under a 3.3 V supply within a temperature range from −50 °C to 125 °C. Lastly, it achieves a 17 mK resolution and an inaccuracy of ±1.5 °C (3$\sigma $) after an on-chip single-point calibration.

The goal of new engineering is to cultivate innovative talents who can adapt to the requirements of new era and new technology. Under the background of new engineering, the construction of “Double First-Class” initiative puts forward higher requirements for the basic theory of integrated circuit teaching and research. This paper explores reform methods in the teaching content, teaching mode and practical teaching of integrated circuit related courses in accordance with the talent training mode of innovative application-oriented undergraduate education. The purpose of this education reform is to cultivate the students' ability to think independently and solve practical problems. At the same time, it can promote the communication between electronic specialty and other majors, and cultivate students' comprehensive quality and innovation ability.

Collaborative cloud–edge Power Internet of Things technology is required to support the development of smart grids, which have become intelligent, green, and regionally autonomous systems. The diversity of electricity customer behaviors and different computational intensities of energy management applications present challenges for task allocation among computing resources that belong to different agents. In this article, we propose a novel trilevel collaborative optimization model to comprehensively consider the relation among various agents, including users, edge nodes (ENs), a cloud center (CC), and a multiedge league (MEL). We first formulate a Stackelberg game between users and ENs modeled as the lower level and middle level. In addition, with the assistance of the CC, we propose a MEL cooperation scheme to analyze the collaborative task allocation problem among multiple edges, which is modeled as the upper level to maximize the social welfare of the multiedge system (MES) without damaging the interests of the various ENs. The proposed trilevel model is equivalent to a bilevel program, solved by the proposed collaborative dynamic task allocation (CDTA) algorithm. Numerical simulations are presented to verify the proposed scheme and the results show that this scheme is effective for task allocation among users, ENs, the cloud, and the MEL in a cloud-assisted MES.

In the teaching of electronic engineering, some practical projects need to be added in order to connect various courses together. To strengthen the connections between courses, the project-based teaching method proposed in this paper advocates linking the knowledge of different courses through the combination of theory and practice. With this as a guide, projects have been set up for students. One of them is about designing and making a managed ethernet switch. In the process of making and completing this project, the students' ability has been significantly improved, which fully proves the benefits of the teaching method.

In this work, a high precision adaptive slope compensation circuit is proposed used in DC-DC converter for System-on-Chip Power Management. Compared with the conventional adaptive slope compensation circuit, this work uses the comparator to sample the output voltage and the input voltage, so that the accuracy has been greatly improved. In this paper, the circuit is designed based on UMC 0.18-μm CMOS Technology and verified by Cadence simulation environment. Simulation results show that, the compensation precision of the slope can reach more than 96% when changes the input voltage with output voltage fixed or changes the output voltage while keeping input voltage constant.