Hardware-based mechanisms for software isolation are becoming increasingly popular, but implementing these correctly has proved difficult, undermining the root of security. This work introduces an effective way to formally verify important properties such hardware security mechanisms. In our approach, is developed using a lightweight security-typed description language (HDL) that performs static information flow analysis. We show practicality approach by and verifying simplified realistic...

Tuning the magnetic anisotropy of metal ions remains highly interesting in design improved single-molecule magnets (SMMs). We herein report synthetic, structural, magnetic, and computational studies four mononuclear CoII complexes, namely [Co(hfac)2 (MeCN)2 ] (1), (Spy)2 (2), (MBIm)2 (3), (DMF)2 (4) (MeCN=acetonitrile, hfac=hexafluoroacetylacetone, Spy=4-styrylpyridine, MbIm=5,6-dimethylbenzimidazole, DMF=N,N-dimethylformamide), with distorted octahedral geometry constructed from...

Nonvolatile memory (NVM) has the potential as medium for scratchpad (SPM) in embedded devices. Racetrack (RM), particular, is a developing technology that possesses high density and read latency comparable to SRAM. The RM's access operations, however, are based on shift operations. Multiple operations will lead long energy. In this article, SRAM borrowed help shifts reduction. Thus, novel hybrid SRAM+RM SPM presented make use of SRAM's random density. But, there some challenges proposed...

For a long time, the cobalt(II) complex ([Co(napy)4 ](ClO4 )2 ) (napy=1, 8-naphthyridine) has been considered as an eight-coordinate without any structural proof. After careful considerations, two complexes [Co(napy)2 Cl2 ] (1) and [Co(napy)4 (2) based on bidentate ligand napy were synthesized structurally characterized. X-ray single-crystal determination showed that center in is four-coordinate with tetrahedral geometry (Td ), while seven-coordinate rather than capped trigonal prism (C2v )....

Abstract Slowly digestible starch (SDS) has attracted increasing attention for its function of preventing metabolic diseases. Based on transglycosylation, branching enzymes (1,4-α-glucan enzymes, GBEs, EC 2.4.1.18) can be used to regulate the digestibility starch. In this study, a GBE gene from Bacillus licheniformis (bl-GBE) was cloned, expressed, purified, and characterized. Sequence analysis structural modeling showed that bl-GBE belong glycoside hydrolase 13 (GH13) family, with which...

<abstract><p>Automatic test paper design is critical in education to reduce workloads for educators and facilitate an efficient teaching process. However, current designs fail satisfy the realistic requirements of educators, including consideration both quality efficiency. This main reason why teachers still manually construct tests most environments. In this paper, quantitatively defined while considering multiple objectives, a flexible coverage knowledge points, cognitive...

ASIC and FPGA are considered to be the ideal platform for special fast calculations because of hardware structure, how achieve computational algorithm by is hotpot research.The CORDIC (Coordinate Rotational Digital Computer) can break basis functions down operations shift addition or subtraction, which used lay foundation realization complex logic.But selected traditional CODIC angle encoding too complex, will lead some problems, such as much area consumption large delay.In this paper, an...

Currently, FCFS scheduling method is widely used in hospitals for patient admission scheduling, which ignores the impacts of length stay and surgery arrangement on usage hospital resources. This paper proposes a more comprehensive mathematical model evaluation mechanism an ophthalmic hospital. A genetic algorithm (GA) proposed to optimize model, can provide detailed everyday. The result compared with that traditional method, indicates GA helps reduce preoperative waiting time patients....

Ultraviolet radiation induced damage to DNA/RNA can lead chemical modifications the nucleosides, and understanding excited states involved is key reveal mechanism of those reactions. 5-Halogen cytidines are metabolized nucleoside byproducts that exhibit very important biological functions in process nucleic acid methylation as well repairing. However, despite accumulation knowledge about their functions, effects halogen substitution on canonical have not received much attention. In this...

Along with the progress of AI democratization, machine learning (ML) has been successfully applied to edge applications, such as smart phones and automated driving. Nowadays, more applications require ML on tiny devices extremely limited resources, like implantable cardioverter de-fibrillator (ICD), which is known TinyML. Unlike edge, TinyML a energy supply higher demands low-power execution. Stochastic computing (SC) using bitstreams for data representation promising since it can perform...

Predicting hard disk failure effectively and efficiently can prevent the high costs of data loss for storage systems. Disk prediction based on machine learning artificial intelligence has gained notable attention, because its good capabilities. Improving accuracy performance prediction, however, is still a challenging problem. When about to occur, time limited process, including building models predicting. Faster training would promote efficiency model updates, late predictions not only have...

An ultra-wideband CMOS integrated sampling mixer subsystem was designed and fabricated using Jazz Semiconductor's 0.18-mum enhanced RF process. A two-stage switching strategy is implemented to synchronously merge a low-noise amplifier (LNA) with sampler achieve high gain, fast sampling, low noise figure, power consumption, efficiency. The LNA sample-and-hold capacitor are switched two synchronized strobes generated on-chip. Characteristics of the strobe, clock jitter, their effects on...

Reinforcement Learning (RL) is an effective approach to developing control policies by maximizing the agent's reward. Deep (DRL) uses Neural Networks (DNNs) for function approximation in RL, and has achieved tremendous success recent years. Large DNNs often incur significant memory size computational overheads, which greatly impedes their deployment into resource-constrained embedded systems. For of a trained RL agent on systems, it necessary compress Policy Network improve its computation...

Summary Reinforcement learning (RL) is an effective approach to developing control policies by maximizing the agent's reward. Deep reinforcement uses deep neural networks (DNNs) for function approximation in RL, and has achieved tremendous success recent years. Large DNNs often incur significant memory size computational overheads, which may impede their deployment into resource‐constrained embedded systems. For of a trained RL agent on systems, it necessary compress policy network improve...

In this paper, a novel hybrid scratchpad memory (SPM) with SRAM and racetrack (RM) is proposed. The basic idea to smartly place data on SPM by taking the advantages of these two memories. First, metric proposed represent access cost data; Second, placement scheme based metric; Finally, maximize size SPM, further minimize SRAM. Experimental results show that reduces shift operations RM 80.12% 80.72% only 17.63% compared baseline pure RM.

Hardware-based mechanisms for software isolation are becoming increasingly popular, but implementing these correctly has proved difficult, undermining the root of security. This work introduces an effective way to formally verify important properties such hardware security mechanisms. In our approach, is developed using a lightweight security-typed description language (HDL) that performs static information flow analysis. We show practicality approach by and verifying simplified realistic...