Non-linear operations such as GELU, Layer normalization, and Soft-max are essential yet costly building blocks of Transformer models. Several prior works simplified these with look-up tables or integer computations, but approximations suffer inferior accuracy considerable hardware cost long latency. This paper proposes an accurate hardware-friendly approximation framework for efficient inference. Our employs a simple neural network universal approximator its structure equivalently...

Abstract Flexible materials with sufficient mechanical endurance under bending or folding is essential for flexible electronic devices. Conventional rigid such as metals and ceramics are mostly brittle so that their properties can deteriorate a certain amount of strain. In order to utilize high-performance, but conventional in electronics, we propose novel substrate structure low-modulus interlayer. The interlayer reduces the surface strain, where active components placed. results indium tin...

The demand for safe and edible meat has led to the advancement of freeze-storage techniques, but falsely labeled thawed remains an issue. Many methods have been proposed this purpose, they all destroy sample can only be performed in laboratory by skilled personnel. In study, hyperspectral image data were used construct a machine learning (ML) model discriminate between freshly refrigerated, long-term beef samples. With four pre-processing methods, total five datasets prepared ML model....

A colorimetric sensor array was developed to characterize and quantify the taste of white wines. charge-coupled device (CCD) camera captured images from 23 different wine samples, change in R, G, B color components control were analyzed by principal component analysis. Additionally, high performance liquid chromatography (HPLC) used analyze chemical each sample responsible for its taste. two-dimensional score plot created with data points. It revealed clusters same type grape, trends...

Abstract In this work, a novel hydrogen process is proposed to enhance the stability of IGZO transistors without side effects such as defect generation or negative threshold voltage (V TH ) shift. Conventional treatments on transistors, including thermal annealing and plasma, typically resulted in excess incorporation, leading unstable states like M─OH bonds hydrons, which degrade electrical stability. This approach integrates post‐annealing step following plasma treatment, eliminating...

Unbiased recommender learning has been actively studied to alleviate the inherent bias of implicit datasets under missing-not-at-random assumption. Existing studies solely address positive feedback but do not account for missing feedback, which heavily affects their sub-optimal performance gains. This paper proposes a dual framework that simultaneously eliminates clicked and unclicked data. Specifically, proposed loss function adopts two propensity weighting effectively estimate true...

3D object detection using point cloud (PC) data is essential for perception pipelines of autonomous driving, where efficient encoding key to meeting stringent resource and latency requirements. PointPillars, a widely adopted bird's-eye view (BEV) encoding, aggregates into 2D pillars fast accurate detection. However, the stateof-the-art methods employing PointPillars overlook inherent sparsity pillar only valid encoded with vector channel elements, missing opportunities significant...

With low-power consumption, small code and data size, evolvability as design criteria, we develop an evolvable operating system (EOS) for wireless sensor network applications. The EOS provides memory space efficient thread management, collaborative communication model stack. It also supports power management of microcontroller radio transceiver, wide time synchronization function. Above all, the most important feature is concept with which itself can be easily configurable upgradeable.

Microfluidic devices have been extensively developed as methods for microscale materials fabrication. It has also adopted polymeric microsphere fabrication and in situ drug encapsulation. Here, we employed multi-inlet microfluidic channels DNA hydrogel formation protein The release of encapsulated proteins from hydrogels showed different profiles accordingly with the size microspheres.

This study analyzed variations of tensile strength and the failure mode composite bonded scarf joint in various thermal environments. A total 70 joints were manufactured using secondary bonding co-bonding methods, which a number 10 additionally attached to an external ply over area examine its effect. Six different environmental temperatures ranged from 25°C 150°C chosen tested. pure laminate having same stacking sequence as parent was prepared tested at six for references. Experimental...

Herein, we show that DNA nanostructures have great potential as templates for the synthesis of shape-controlled metal nanostructures.

Text variational autoencoders (VAEs) are notorious for posterior collapse, a phenomenon where the model's decoder learns to ignore signals from encoder. Because collapse is known be exacerbated by expressive decoders, Transformers have seen limited adoption as components of text VAEs. Existing studies that incorporate into VAEs (Li et al., 2020; Fang 2021) mitigate using massive pretraining, technique unavailable most research community without extensive computing resources. We present...

Implicit feedback has been widely used to build commercial recommender systems. Because observed represents users' click logs, there is a semantic gap between true relevance and feedback. More importantly, usually biased towards popular items, thereby overestimating the actual of items. Although existing studies have developed unbiased learning methods using inverse propensity weighting (IPW) or causal reasoning, they solely focus on eliminating popularity bias In this paper, we propose...

Many studies have tried to use the surrogate safety measures (SSM) estimated from microscopic traffic simulations. However, it is difficult adopt these developed SSM reflect real-world conditions when network in simulation not calibrated and validated accordingly. This paper proposed a method develop pattern-based measure (PSSM) using individual vehicle trajectory data. The PSSM can be based on pattern of hazardous driving behaviour (HDB). Using digital tacho graph data collected commercial...

A Vigenère cipher applies a single short key repeatedly to encrypt plaintext. If cryptanalyst correctly finds out the length, ciphertext can be divided into multiple instances of shift and broken by frequency analysis. To determine twist algorithm, an alternate method standard Kasiski Friedman tests, was recently proposed. In this article, we propose twist+ improved which estimate length more accurately than original algorithm.

This study develops a set of crash modification factors (CMFs) to evaluate the effects lowering urban-road speed limits on vehicle and pedestrian safety. Cross-sectional methods observation before–after are used develop CMFs. In general, CMF estimates expected change in frequency crashes after specific countermeasures applied road. this study, safety improvement effect section adjacent as well for which policy lower limit was were evaluated. The results indicate that is effective reducing...

In weakly-supervised text classification, only label names act as sources of supervision. Predominant approaches to classification utilize a two-phase framework, where test samples are first assigned pseudo-labels and then used train neural classifier. most previous work, the pseudo-labeling step is dependent on obtaining seed words that best capture relevance each class label. We present LIME, framework for entirely replaces brittle seed-word generation process with entailment-based...

3D object detection using point cloud (PC) data is essential for perception pipelines of autonomous driving, where efficient encoding key to meeting stringent resource and latency requirements. PointPillars, a widely adopted bird's-eye view (BEV) encoding, aggregates into 2D pillars fast accurate detection. However, the state-of-the-art methods employing PointPillars overlook inherent sparsity pillar only valid encoded with vector channel elements, missing opportunities significant...

We advance the state-of-the-art in unsupervised abstractive dialogue summarization by utilizing multi-sentence compression graphs. Starting from well-founded assumptions about word graphs, we present simple but reliable path-reranking and topic segmentation schemes. Robustness of our method is demonstrated on datasets across multiple domains, including meetings, interviews, movie scripts, day-to-day conversations. also identify possible avenues to augment heuristic-based system with deep...