In the CubeSATs ecosystem, flight-launching and resilient communication are two major challenges for Low Earth Orbit (LEO), Near Earth Orbit (NEO), and Medium Earth Orbit (MEO) satellites. Dynamic beamforming, satelli...
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ISBN:
(纸本)9798350333398
In the CubeSATs ecosystem, flight-launching and resilient communication are two major challenges for Low Earth Orbit (LEO), Near Earth Orbit (NEO), and Medium Earth Orbit (MEO) satellites. Dynamic beamforming, satellite Guidance, Navigation and control (GNC) operations, and channel-tolerant communication are core and common problems faced by all satellite mission designs. In this work, a UAV-assisted SkyCube Testbench is proposed that can be used to demonstrate a) Orthogonal Frequency Division Multiplexing (OFDM) in GNURadio (R) over 6 GHz Universal Software Radio Peripheral (USRP);b) GNC operations over 923 MHz - 2 W Long Range (LoRA) wireless node;c) beam-forming using 2x2 phased-array antenna;d) energy-harvesting via 25 W mono-crystalline PV modules and two 3.7 V/6000 mAh batteries driven by 50 W Maximum Power Point Tracking (MPPT) converter;and e) energy-optimized thrust control nozzle for 30+ min airborne flight-time with 881 g payload. This design is expected to serve 35 km altitude with 73.298 km orbital curvature.
Due to their large size, generative Large Language Models (LLMs) require significant computing and storage resources. This paper introduces a new post-training quantization method, GPTQT, to reduce memory usage and en...
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ISBN:
(纸本)9798350364200;9798350364194
Due to their large size, generative Large Language Models (LLMs) require significant computing and storage resources. This paper introduces a new post-training quantization method, GPTQT, to reduce memory usage and enhance processing speed by expressing the weight of LLM in 3bit/2bit. Practice has shown that minimizing the quantization error of weights is ineffective, leading to overfitting. Therefore, GPTQT employs a progressive two-step approach: initially quantizing weights using Linear quantization to a relatively high bit, followed by converting obtained int weight to lower bit binary coding. A re-explore strategy is proposed to optimize initial scaling factor. During inference, these steps are merged into pure binary coding, enabling efficient computation. Testing across various models and datasets confirms GPTQT's effectiveness. Compared to the strong 3-bit quantization baseline, GPTQT further reduces perplexity by 4.01 on opt-66B and increases speed by 1.24x on opt-30b. The results on Llama2 show that GPTQT is currently the best binary coding quantization method for such kind of LLMs.
After the domestic new crown pneumonia (COVID-19) epidemic has stabilized, the imported people and goods carrying the virus may lead to a slight rebound in the domestic epidemic. Using this model, the second epidemic ...
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The domain of network traffic and anomaly reporting has its highlights in recent days towards real-time applications. The utilization of network data with its correlating attributes and its measures must be considered...
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In this paper, the developed structure of a hexagonal antenna in a ring shape is designed and compared with a regular structure of a hexagonal antenna at a radio frequency of 4-24 GHz for 6 G communication at 7-20 GHz...
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Some countries are facing serious challenges in terms of waste management and disposal. This study has developed and implemented an innovative method to collect all types of waste from every household with the help of...
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As the demand for computational power continues to grow, traditional data processing approaches face limitations, primarily related to physical constraints in materials and processing units. In order to deal with such...
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ISBN:
(纸本)9798350339826
As the demand for computational power continues to grow, traditional data processing approaches face limitations, primarily related to physical constraints in materials and processing units. In order to deal with such limitations, the computing industry has turned to multi-core and Symmetric multiprocessing technology, harnessing the combined processing capabilities of multiple processors to spread workloads to improve performance. One of the key strategies in providing computational power for parallel processing is represented by the "multi-tenant approach" of Cloud computing, where multiple tenants can share a huge amount of computational power for the execution of services. Private Cloud is a slightly different approach which ensures more security and control. At the same time, it can provide service continuity and reliability at the system level rather than relying on individual components. In this paper, we discuss the key aspects of cloud computing w.r.t. the existing different service models, particularly focusing on the private Cloud model. To this end, we discuss established technologies for Cloud computing, particularly the well-known OpenStack. We discuss the key aspects related to the deployment of OpenStack using PuppetStack, which is a software solution we employed for our research. PuppetStack can support the deployment of high-availability private cloud infrastructure.
The primary goal of this research work is to develop an autonomous robot that can do domestic surveillance primarily and muti-application regions generally. Robots now play a significant part in our daily lives by eli...
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This paper presents the application of Antlion optimization (ALO) tuning approach to obtain the optimal parameters of PID controller to regulate the speed of DC motor. The ALO method was applied to minimize the ITAE o...
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In the rapidly evolving landscape of the digital era, cybersecurity has emerged as a critical concern for financial institutions. The increasing reliance on technology and digital platforms has provided immense opport...
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