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Processing-in-memory (PIM) has been widely explored in academia and industry to accelerate numerous workloads. By reducing the data movement and increasing parallelism, PIM offers great performance and energy efficiency. A large amount of cores or nodes ...

Processing-in-memory (PIM), where the compute is moved closer to the memory or the data, has been widely explored to accelerate emerging workloads. Recently, different PIM-based systems have been announced by memory vendors to minimize data movement and ...

With the evolving application demands, the inherent immutability of consortium blockchains hinders their widespread adoption. For example, expired data stored on the chain cannot be deleted, and erroneous data cannot be redacted, seriously ...

• This paper proposes a verifiable distributed chameleon hash function - VDCH.
• VDCH makes the process of computing hash collisions fault-tolerant.
• This paper proposes a threshold signature-based consensus protocol - CVTSS.
• The ...

The shuffle model is a promising federated learning method, which has the advantages of the high accuracy of central federated learning and the high security of local federated learning. Although the shuffle model can well address the privacy ...

Solidity smart contracts play an important role in enabling interactions and collaborations among users in a decentralized blockchain-based community, and their security has received much attention in the industry. One of the most serious ...

Video understanding is an important task in short video business platforms and it has a wide application in video recommendation and classification. Most of the existing video understanding works only focus on the information that appeared within the ...

The capabilities of autonomous flight with unmanned aerial vehicles (UAVs) have significantly increased in recent times. However, basic problems such as fast and robust geo-localization in GPS-denied environments still remain unsolved. Existing research ...

SARS-CoV-2 caused atypical pneumonia (COVID-19) is an ongoing pandemic that seriously threat the global public health. Many people die from this disease with severe symptoms. The most prevalent m6A RNA modification may be involved in by assisting the ...

Aerial vehicles with collision resilience can operate with more confidence in environments with obstacles that are hard to detect and avoid. This paper presents the methodology used to design a collision resilient aerial vehicle with icosahedron ...

Limited flight range is a common problem for multicopters. To alleviate this problem, we propose a method for finding the optimal speed and heading of a multicopter when flying a given path to achieve the longest flight range. Based on a novel ...

In this work we introduce an approach that allows a quadcopter to find the velocity which maximizes its flight time (endurance) or flight distance (range) while moving along a given path, using on-board power measurement. The proposed strategy is based on ...

Quality control plays a key role in approximate computing to save the energy and guarantee that the quality of the computation outcome satisfies users' requirement. Previous works proposed a hybrid architecture, composed of a classifier for error ...

Graphene is considered as potential candidate for future nano-interconnects. In this respect we study the Brønsted acid doping effect of single layer graphene (SLG) and few layer graphene (FLG) synthesized by chemical vapor deposition (CVD). A sheet ...

Smartphone applications are becoming increasingly popular. However, these applications can suffer limited power budgets or malfunctioned sensing issues from their host devices. Computation offloading addresses this issue by delegating local computation ...

Combining information from various medical imaging modalities can lead to better diagnoses, treatment planning, and results assessment. If it is done carelessly, it can lead to poor application start-up performance and cause bottlenecks. The authors ...