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Programmed Dribble Water System Framework (ADIS) to identify soil moisture by using a Dirt Adhesive sensor 3

Programmed Dribble Water System Framework (ADIS) to identify...

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3rd international conference on Intelligent Engineering and Management, ICIEM 2022

作者： Kumar, Rohit Tripathi, Aanjey Mani Tyagi, Manik Galgotias University School of Computing Science and Engineering Greater Noida India

ISBN: (数字)9781665467568

ISBN: (纸本)9781665467568

The rise of water issues and the need for appropriate farm conservation strategies is a hot topic that should be addressed in all matters that are considered extremist. In this study it is proposed to have automated water management systems on farms. The proposed action is based on the Web of Things (IoT), which can be a cost-effective and responsive solution to farm needs. The pilot program, which is important for managing the surface water table, demolition and compiling the issue of a stable water structure, will be simplified and effective. This "Modified Dribble Water System Framework"project plans to create a duplicate water system framework. OPENING the engine and CLOSING it to match the attractive soil *** the green regions, the use of water mixing techniques is focused. The potential increase in the use of these methods will reduce barriers and make the water system more sustainable. The proposed model consists of three phases: First, to identify soil fill levels. The resulting phase is the confirmation of its condition: dry or wet. The final and third phase are vehicle control. This project proposes to improve the Programmed Dribble Water System Framework (ADIS) to identify soil moisture by using a dirt adhesive sensor. In particular, ADIS uses the Moisture sensor to shut down the water content of the pond and provide a logical response to the design based on the condition obtained. Using this reaction, ADIS determines whether the land should be passed or not. © 2022 ieee.

关键词： Soil moisture

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OCTOANTS: A Heterogeneous Lightweight Intelligent Multi-Robot Collaboration System with Resource-constrained IoT Devices

OCTOANTS: A Heterogeneous Lightweight Intelligent Multi-Robo...

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ieee/RSJ international conference on Intelligent Robots and systems (IROS)

作者： Zhang, Qian Quan, Ruiyang Qimuge, Siqin Xia, Peimin Wang, Jiaheng Zan, Xin Wang, Fangshi Chen, Changchuan Wei, Qi Zhao, Huichan Liu, Xinjun Qiao, Fei Tsinghua Univ Beijing 100084 Peoples R China Xi An Jiao Tong Univ Xian 710049 Peoples R China Chongqing Univ Posts & Telecommun Chongqing 400065 Peoples R China Beijing Jiaotong Univ Beijing 100044 Peoples R China Univ Sci & Technol Beijing Beijing 100083 Peoples R China

ISBN: (数字)9781665479271

ISBN: (纸本)9781665479271

As the focus on highly intelligent robots continues, a problem that cannot be ignored has emerged: resource constraints. Considering the game problem of resource limitation and the level of intelligence, we focus on lightweight intelligence. This work is a further refinement of our previous work, a heterogeneous lightweight intelligent multi-robot system. Inspired by the nature creatures "octopus" and "ants". First, we propose a heterogeneous centralized-distributed architecture, which can make robots collaboration more flexible and non-redundant. Second, to reflect lightweight intelligence, we use the Raspberry Pi, a low computing and power consumption internet of things (IoT) device, as a processing platform and first propose a quantitative definition of the lightweight intelligent system. Then, combining the centralized-distributed architecture and the lightweight computing platform, we propose an adapted algorithm called OCTOANTS and apply it to the simultaneous localization and mapping (SLAM) field. The OCTOANTS architecture consists of one brain and eight tentacles, which can achieve complex things with proper collaboration between them. Finally, we use heterogeneous cameras and heterogeneous algorithms to form a lightweight intelligent collaborative system that can run in the real world. On the low-grade platform Raspberry Pi our heterogeneous tentacles frame rate can reach 41fps and 99.8fps respectively, power consumption is only 2W and 1.2W. At the same time, our heterogeneous system is on average 7.2% more accurate than the state-of-the-art homogeneous system and can be applied to a wider range of application scenarios, demonstrating the superiority and feasibility of our OCTOANTS.

关键词： Simultaneous localization and mapping Power demand Collaboration Computer architecture sensor phenomena and characterization sensor systems Nanoscale devices

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G-SM3: High-Performance Implementation of GPU-based SM3 Hash Function 28

G-SM3: High-Performance Implementation of GPU-based SM3 Hash...

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ieee 28th international conference on Parallel and distributed systems (ieee ICPADS)

作者： Dong, Jiankuo Lu, Sheng Zhang, Pinchang Zheng, Fangyu Xiao, Fu Nanjing Univ Posts & Telecommun Sch Comp Sci Nanjing Peoples R China Chinese Acad Sci Inst Informat Engn Beijing Peoples R China

ISBN: (纸本)9781665473156

Hash is one of the most important algorithms of cryptography, it is widely used in cryptographic primitives, such as digital signature, key exchange and so on. Further, hash cryptography is also the core operation of blockchain technology. With the explosive growth of the number of IoT devices and the rapid development of blockchain technology, the computing performance of hash has received widespread attention. The GPU high-performance computing platforms with a number of arithmetic cores are widely used in cryptographic optimization and acceleration. In this paper, we propose an efficient parallel accelerated framework of SM3 cryptography hash function based on GPU parallel computing devices, short for GPU-based SM3 (G-SM3). Our G-SM3 optimizes the implementation of the hash cryptographic algorithm from three aspects: parallelism, memory access and instructions. On the desktop GPU NVIDIA Titan V, the peak performance of G-SM3 reaches 23 GB/s, which is more than 7.5 times the performance of OpenSSL on a top-level server CPU (E5-2699V3) with 16 cores. On the embedded GPU which consumes less than 40 W, the SM3 throughput reaches 3.8 GB/s, which is even better than the performance of the server-level CPU. Based on the same GTX 1080, our performance is 1.12 times that of the fastest known GPU implementation, and the latency is reduced by more than 95%. Compared to other platforms, our G-SM3 has a huge advantage.

关键词： SM3 Graphic Processing Unit CUDA Cryptographic Engineering

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Implementation of Data Mining Algorithm Based on distributed Cloud Platform

Implementation of Data Mining Algorithm Based on Distributed...

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Electrical Engineering, Big Data and Algorithms (EEBDA), ieee international conference on

作者： Li Ming Gong Shuai Yu Dongbo Zhang Min Li Bin Lu Hongbo Information and Communication Branch State Grid Anhui Electric Power Co. Ltd Hefei China

MapReduce and Hadoop distributed data processing technologies are used for systematic research. The system is interactive in distributed computing, data mining, service response and cloud environment. At the level of data mining, the normalized method is used to normalize the data, so that it has a standardized dimension. The converted signal is denoised by ICA fast decomposition method. Cloud DM takes full advantage of Hadoop's open-source cloud platform, which is able to efficiently process large amounts of data. This provides a service model for the development and operation of distributed data mining system. This paper introduces the core components of the business-based cloud computing mining engine and its implementation methods. Combined with data mining technology in cloud computing environment, large-scale data storage, processing and data interoperability are realized. Experiments show that this method can efficiently mine the spatial attributes of the city and improve the efficiency of data mining to a great extent.

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TransOra: A Transaction-preserving and Transparent distributed Oracle on Permissioned Blockchain For Hybrid Smart Contracts 3

TransOra: A Transaction-preserving and Transparent Distribut...

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3rd international conference on computing, Networks and Internet of Things, CNIOT 2022

作者： Yang, Tianjian Sun, Qiao Chen, Feng University of Chinese Academy of Sciences Guiyang Academy of Information Technology Chinese Academy of Sciences Institute of Software Beijing China

ISBN: (纸本)9781665469104

Hybrid transaction in blockchain enlarges the application domain of smart contracts by enabling off-chain data access. In support of the hybrid transaction, blockchain oracle is an indispensable middleware responsible for receiving data-request tasks and pushing the result back to chain. Though solutions supporting hybrid transactions do exist, they are less featured or applicable for both contract and application developers. On one hand, the racing-condition among several concurrent hybrid transactions should be manually resolved by contract developers. On the other hand, application developers have to associate each individual task with its parent hybrid transaction in order to obtain the result. In this paper, a novel block-chain oracle platform with a set of simple but unified API for both hybrid and traditional transactions is proposed. Firstly, we design and implement a transactional storage layer and a transaction scheduler for transaction preservation and ordering. Secondly, with the help of an automatic result tracing mechanism, application developers are able to acquire transaction results transparently without awareness of oracles and underlying task execution. Experiments are conducted on one of current prevalent permissioned blockchain platforms, RepChain, and the result shows that all of the system design goals are fulfilled with merely an acceptable loss of performance. © 2022 ieee.

关键词： Smart contract

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IPSN 2023 - Proceedings of the 2023 22nd international conference on Information Processing in sensor Networks

IPSN 2023 - Proceedings of the 2023 22nd International Confe...

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22nd ACM/ieee international conference on Information Processing in sensor Networks, IPSN 2023

ISBN: (纸本)9798400701184

The proceedings contain 58 papers. The topics discussed include: POS: an operator scheduling framework for multi-model inference on edge intelligent computing;CoEdge: a cooperative edge system for distributed real-time deep learning tasks;PointSplit: towards on-device 3D object detection with heterogenous low-power accelerators;addressing practical challenges in acoustic sensing to enable fast motion tracking;CMA: cross-modal association between wearable and structural vibration signal segments for indoor occupant sensing;interpersonal distance tracking with mmWave radar and IMUs;mmRipple: communicating with mmWave radars through smartphone vibration;DeepGANTT: a scalable deep learning scheduler for backscatter networks;ARSteth: enabling home self-screening with AR-assisted intelligent stethoscopes;hydra: concurrent coordination for fault-tolerant networking;MicroDeblur: image motion deblurring on microcontroller-based vision systems;and mosaic: extremely low-resolution RFID vision for visually-anonymized action recognition.

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14-Bus ieee Electrical Network Compensated for Optimum Voltage Enhancement using FACTS Technologies 3

14-Bus IEEE Electrical Network Compensated for Optimum Volta...

引用

3rd international conference for Emerging Technology, INCET 2022

作者： Le Roux, P.F. Ngwenyama, M.K. Aphane, T.C. Tshwane University of Technology Electrical Engineering Department Witbank Campus South Africa

ISBN: (纸本)9781665494991

Flexible AC Transmission systems (FACTS) are important when enhancing an electrical network in stabilising the voltage. The optimal localisation and sizing of the FACTS device depend on the power system and its shortcomings. In this paper, a shunt controlling capacitor for voltage stability was presented. The ieee 14-Bus trial model was utilised to compare the efficiency of the existing model with and without the shunt compensator. PowerWorld simulator was used for simulation and compensation of the electrical network. Previously, distributed generators (DGs) and other techniques were used to compensate for the original system instead of FACTS devices. Unfortunately, the DG technique was very expensive and created other problems in the power network. There are two scenarios of implementing shunt compensation to the system. Two switched shunt compensators were introduced in the first scenario at the primary (high-voltage) and the secondary (low-voltage) sides. The second scenario had only one switched shunt introduced at a secondary bus. Both scenarios obtained good results concerning the voltage profile being in the correct constraints of 0.95 © 2022 ieee.

关键词： Flexible AC transmission systems

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distributed Deep Leaning Attack Detection Framework for Cyber-Attacks in IoT Network 3

Distributed Deep Leaning Attack Detection Framework for Cybe...

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3rd international conference on Advancement in Electronics and Communication Engineering, AECE 2023

作者： Gurusubramani, S. Rosy, N. Arockia Chitra, D. Anwar Basha, H. Durairaj Isravel, Yabesh Abraham Shaker Reddy, Pundru Chandra Sri Sairam Engineering College Computer Science and Engineering Tamilnadu Chennai India Rmd Engineering College Department of Information Technology Tamilnadu Thiruvallur India Panimalar Engineering College Tamilnadu Chennai India School of Computer Science and Engineering Reva University Karnataka Bengaluru India School of Management S. A. College of Arts & Science Chennai Tamilnadu India School of Computer Science and Engineering Lovely Professional University Punjab Phagwara India

ISBN: (纸本)9798350330724

As the frequency of security breaches continues to climb, cyber-security remains a major concern across all industries operating online. Because of the proliferation of new protocols, most of which originate with the Internet-of-Things(IoT), thousands of new zero-day attacks appear every day. Cyberattacks on the IoT have skyrocketed due to the proliferation of connected devices and the inherent security flaws in many network infrastructures. The safety of those systems depends on the ability to recognize and categorize harmful communications. This recommends that even cutting-edge methods, like conventional machine learning (ML) systems, have trouble spotting these atypical, yet dangerous, mutations in attacks over time. However, deep learning's (DL) widespread success in big data applications has piqued the curiosity of many in the cybersecurity community. In order to address multiple potential entry points at once, the authors of this research employ a distributed-framework built on DL to do so. The feedforward neural-network(FFNN) and the long short-term memory (LSTM) are two DL strategies that are compared and contrasted. Both the NSL-KDD and the BoT-IoT datasets are used to test the models' abilities to detect and prevent various cyberattacks. Accuracy of up to 99.98% was achieved across all configurations, proving that the proposed distributed system is successful in detecting multiple classes of cyberattacks. © 2023 ieee.

关键词： Internet of things

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Design and realization of a myoelectric prosthesis for a tactile hand 3

Design and realization of a myoelectric prosthesis for a tac...

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3rd international conference on Embedded and distributed systems, EDiS 2022

作者： Hana, Talha Wafa Lotfi, Madaoui Malika, Kedir-Talha Nafissa, Sadi-Ahmed Besma, Bessekri Khaoula, Ghazli University of Sciences and Technology Houari Boumediene Department of Electrical Engineering Algiers Algeria

ISBN: (纸本)9798350397543

This study is an attempt to contribute to the design, development, and production of a myoelectric hand prosthesis. This prosthetic device is controlled by an EMG signal captured using surface electrodes on a stump's muscle. The realization of customized electronics allowed us to operate the prosthesis's five fingers with five servo motors. Force sensors on the tip of each finger made this prosthesis tactile, allowing the intelligent system in place to grab or drop an object as the amputee desired. © 2022 ieee.

关键词： 3D printers

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Intelligent distributed System for Smart Economic Management Integrating Computer Architecture Optimization Algorithm 3

Intelligent Distributed System for Smart Economic Management...

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3rd international conference on Smart Electronics and Communication, ICOSEC 2022

作者： Wang, Dan JiangHan University Business School Wuhan HuBei430056 China

ISBN: (数字)9781665497640

ISBN: (纸本)9781665497640

Intelligent distributed system for smart economic management integrating computer architecture optimization algorithm is studied in the manuscript. After receiving the control parameters in advance, each node designed by us will analyze the relevant parameters to ensure that the specified parameters are used for transmission in the specified airspace and at the specified time. At the same time, the receiving node will receive the echo signal with the specified parameters at the specified time to complete the relevant processing. The ZooKeeper is then used to implement the system. Zookeeper is mainly used to solve the consistency problem of application systems in distributed clusters. Then, the designed model is applied to the smart economic management integrating computer architecture optimization algorithm. The performance is then tested and validated by implementing a simulation process. © 2022 ieee.

关键词： Data integration

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