3d Printed Multilayer Microwave Absorber

This paper explores the possibility to create 3D printed multilayer electromagnetic absorbers. The proposed design is similar to the thin-film filters used in optics and consists of interleaving high and low permittivity layers. Based on transmission line theory, the multilayer absorber can be designed in a circuit simulator. Analytical equations, circuit simulations, and measurements are used to analyze and validate the designed absorber. Multilayer absorbers based on 3D printed material can be an inexpensive option for engineering usage with great design flexibility and fast fabrication

PAPR reduction using iterative clipping/filtering and ADMM approaches for OFDM-based mixed-numerology systems

Mixed-numerology transmission is proposed to support a variety of communication scenarios with diverse requirements. However, as the orthogonal frequency division multiplexing (OFDM) remains as the basic waveform, the peak-to average power ratio (PAPR) problem is still cumbersome. In this paper, based on the iterative clipping and filtering (ICF) and optimization methods, we investigate the PAPR reduction in the mixed-numerology systems. We first illustrate that the direct extension of classical ICF brings about the accumulation of inter-numerology interference (INI) due to the repeated execution. By exploiting the clipping noise rather than the clipped signal, the noise-shaped ICF (NS-ICF) method is then proposed without increasing the INI. Next, we address the in-band distortion minimization problem subject to the PAPR constraint. By reformulation, the resulting model is separable in both the objective function and the constraints, and well suited for the alternating direction method of multipliers (ADMM) approach. The ADMM-based algorithms are then developed to split the original problem into several subproblems which can be easily solved with closed-form solutions. Furthermore, the applications of the proposed PAPR reduction methods combined with filtering and windowing techniques are also shown to be effective

Identifying Sources of Conducted Emissions by Measuring the Coherence Function

Conducted emissions (CE) is one of the electromagnetic interference (EMI) issues that pose serious compliance problems for electronic devices. For a system with several sources, estimating the contribution of each source to conducted emission at different frequencies can be a challenge. In this article, a coherence function-based signal separation method is presented and validated on two commercial power supply units (PSU). The noise generated by the PSU and measured at the line impedance stabilization network (LISN) port contains two predominantly uncorrelated signals associated with the power factor correction (PFC) and H -bridge/rectifier circuits with unknown contributions at different frequencies. Two reference signals are obtained by probing the emission signals close to the sources. By calculating the coherence between the LISN noise signal and the reference signals, the contributions of these two signals to the noise are obtained. The measurement of the signal contributions can help engineers identify the dominant sources and mitigate the emissions more efficiently over a wide range of frequencies

Automatic Data Visualization Generation from Chinese Natural Language Questions

Data visualization has emerged as an effective tool for getting insights from massive datasets. Due to the hardness of manipulating the programming languages of data visualization, automatic data visualization generation from natural languages (Text-to-Vis) is becoming increasingly popular. Despite the plethora of research effort on the English Text-to-Vis, studies have yet to be conducted on data visualization generation from questions in Chinese. Motivated by this, we propose a Chinese Text-to-Vis dataset in the paper and demonstrate our first attempt to tackle this problem. Our model integrates multilingual BERT as the encoder, boosts the cross-lingual ability, and infuses the $n$-gram information into our word representation learning. Our experimental results show that our dataset is challenging and deserves further research

Group Signature where Group Manager, Members and Open Authority are Identity-Based

We present the first group signature scheme with provable security and signature size $O(\lambda)$ bits where the group manager, the group members, and the Open Authority (OA) are all identity-based. We use the security model of Bellare, Shi, and Zhang, except to add three identity managers for manager, members, and OA respectively, and we discard the Open Oracle. Our construction uses identity-based signatures summarized in Bellare, Namprempre, and Neven for manager, Boneh and Franklin\u27s IBE for OA, and we extend Bellare et al.\u27s group signature construction by verifiably encrypt an image of the member public key, instead of the public key itself. The last innovation is crucial in our efficiency; otherwise, Camenisch and Damgard\u27s verifiable encryption would have to be used resulting in lower efficiency

Giant Bilateral Adrenal Myelolipomas in Two Chinese Families with Congenital Adrenal Hyperplasia

CONTEXT AND OBJECTIVES: Congenital adrenal hyperplasia (CAH) is one of the most prevalent, and potentially severe, genetic inborn errors of steroid synthesis directly affecting metabolism. Most patients are diagnosed and treated at an early age. There have been very limited reports of adults with CAH-associated adrenal myelolipomas. We aimed to analyze two families with CAH-associated giant adrenal myelolipomas caused by defects in CYP21A2 and CYP17A1 genes. PARTICIPANTS AND METHODS: A total of 14 individuals from two unrelated families were identified with either CYP21A2 or CYP17A1 mutations. Of note, 5 patients were found with adrenal myelolipomas. Total DNA isolated from the peripheral blood of the two probands was screened for potential mutations in the following susceptibility genes of CAH: CYP21A2, CYP11B1, CYP17A1, HSD17B3, HSD3B2, ARMC5, and STAR using Target Capture-Based Deep Sequencing; and Sanger sequencing was conducted for the family members to detect the potential mutations. RESULTS: In family 1, molecular genetics sequencing revealed a compound heterozygous mutation (c.293-13C\u3eG / c.518T\u3eA, p.I173N) in CYP12A2 in the patient and his brother. In family 2, all three female patients with adrenal myelolipomas were found to have a compound heterozygous mutation (c.1118A\u3eT, p.H373L / c.1459_1467del9, p.D487_F489del) in CYP17A1. CONCLUSION: To avoid giant CAH-associated adrenal myelolipomas in adults, it is important to identify CAH early so appropriate treatment can be initiated to interrupt the chronic adrenal hyperstimulation resulting from increased ACTH. Genetic testing and counseling could be useful in CAH