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Pattabiraman Venkatasubbu

Bio: Pattabiraman Venkatasubbu is an academic researcher from VIT University. The author has contributed to research in topics: Overhead (computing) & Register file. The author has an hindex of 2, co-authored 4 publications receiving 6 citations.

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Journal ArticleDOI
TL;DR: The comprehensive application developed for farmers not only reduces the physical hardship and time spent on different agricultural activities, but also increases the overall land yield, reduces possibility of losses due to failure of crops in a particular soil and lessens the chances of damage caused to crops by weeds.
Abstract: Agriculture is undoubtedly one of the biggest and most important professions in the world. Optimization of agriculture and aiming gradually and extensively toward smart agriculture are the need of the hour. IOT (Internet of Things) technology has already been successful in easing people’s lives with its wide range of applications in almost all arenas. In this paper, our work takes the help of IOT devices, wireless sensor network (WSN) and AI techniques and combines them for faster and effective recommendation of suitable crops to farmers based on a list of factors such as temperature, annual precipitation, total available land size, past crop grown history and other resources. Additionally, detection of unwanted plants on crops, namely weed detection, is implemented with frame-capturing drone and deep learning methods. Naive Bayes algorithm for crop recommendation based on several factors detected by WSN sensor nodes has been used, resulting in an accuracy of 89.29%, which has proved to be better than several other discussed algorithms in the paper, like regression or support vector machine. Deep learning using neural network successfully identifies weeds present in a specific area of crop growth extending an additional protective measure to farmers. The comprehensive application developed for farmers not only reduces the physical hardship and time spent on different agricultural activities, but also increases the overall land yield, reduces possibility of losses due to failure of crops in a particular soil and lessens the chances of damage caused to crops by weeds.

11 citations

Journal ArticleDOI
TL;DR: An architecture and algorithm for self-repairing of design bugs in the data path using FPGA is proposed, which is re-configured during the run-time to take over the functions of the faulty component.
Abstract: In recent times, with increased transistor density, it is impossible to verify all the components exhaustively for different scenarios. This results in design bugs also known as extrinsic hardware faults to escape into the processor chip in spite of various levels of testing. Hence, handling design bugs efficiently on the field is a necessity in modern multi-core processors. In this paper, an architecture and algorithm for self-repairing of design bugs in the data path using FPGA is proposed. The FPGA is re-configured during the run-time to take over the functions of the faulty component. To verify the effectiveness of the proposed design a representative sample of five faults are injected and handled. The proposed design's area overhead and time overhead calculations are done using Cadence ncverilog and gem5 simulator respectively. The area overhead of the proposed design is < 1% and performance improvement is around 2.5% compared to the existing techniques.

2 citations

Journal ArticleDOI
TL;DR: This paper presents dynamic reconfigurable register file allocation in hyper pipelined OR1200 (Open RISC) for single instruction multiple data (SIMD) and releases the unused register reduces the power consumption and increases the execution speed of OR1200.
Abstract: Reconfiguration is a powerful computational model in which the processors can be changed dynamically during the execution phase of the system This paper presents dynamic reconfigurable register file allocation in hyper pipelined OR1200 (Open RISC) for single instruction multiple data (SIMD) The OR1200 instantly reconfigures the actual register file to the reconfigurable register file according to the requirement of the application The unused general purpose registers obtained during the reconfiguration process can be used for hyper pipelining technique which improves overall performance of the single core processor system Thus releasing the unused register reduces the power consumption and increases the execution speed of OR1200 This proposed reconfigurable technique is implemented using Verilog and it is tested using MediaBench multimedia benchmark dataset which ensures reduced register utilisation of 1680% for multimedia dataset and power reduction up to 727% with reconfigurable modules The proposed technique is configured in Virtex-6 field programmable gate array (FPGA) and results are analysed with the existing and proposed reconfigured OR1200

1 citations

Journal ArticleDOI
TL;DR: The lifetime reliability of processors has become a major design constraint in the dark silicon era and design defects and aging are a major concern.
Abstract: The lifetime reliability of processors has become a major design constraint in the dark silicon era. Processor reliability issues are mainly due to design defects and aging. Unlike design defects, ...

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TL;DR: In this article, the authors identify and review scientifically validated literature on IoT communication technologies in smart agriculture, and summarize the recent research pertinent to the smart agriculture with IoT communication technology, and provide reference for researchers, and more burgeoning communication technologies should be applied in agriculture to realize the great-leap forward development of smart agriculture.

47 citations

Journal ArticleDOI
TL;DR: In this article , the authors classified ML in the Internet of Drones (IoD) and UAV world according to its applications, including resource management, surveillance and monitoring, object detection, power control, energy management, mobility management, and security management.
Abstract: Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability to a broad range of unpredictable circumstances. In addition, Unmanned Aerial Vehicles (UAVs) could be utilized efficiently in a multitude of scenarios, including rescue missions and search, farming, mission-critical services, surveillance systems, and so on, owing to technical and realistic benefits such as low movement, the capacity to lengthen wireless coverage zones, and the ability to attain places unreachable to human beings. In many studies, IoD and UAV are utilized interchangeably. Besides, drones enhance the efficiency aspects of various network topologies, including delay, throughput, interconnectivity, and dependability. Nonetheless, the deployment of drone systems raises various challenges relating to the inherent unpredictability of the wireless medium, the high mobility degrees, and the battery life that could result in rapid topological changes. In this paper, the IoD is originally explained in terms of potential applications and comparative operational scenarios. Then, we classify ML in the IoD-UAV world according to its applications, including resource management, surveillance and monitoring, object detection, power control, energy management, mobility management, and security management. This research aims to supply the readers with a better understanding of (1) the fundamentals of IoD/UAV, (2) the most recent developments and breakthroughs in this field, (3) the benefits and drawbacks of existing methods, and (4) areas that need further investigation and consideration. The results suggest that the Convolutional Neural Networks (CNN) method is the most often employed ML method in publications. According to research, most papers are on resource and mobility management. Most articles have focused on enhancing only one parameter, with the accuracy parameter receiving the most attention. Also, Python is the most commonly used language in papers, accounting for 90% of the time. Also, in 2021, it has the most papers published.

17 citations

Journal ArticleDOI
TL;DR: Overall, this review demonstrates the scientific information required to achieve sustainable weed management, so as to implement UAV platform in the real agricultural contexts.
Abstract: Weeds are among the most harmful abiotic factors in agriculture, triggering significant yield loss worldwide. Remote sensing can detect and map the presence of weeds in various spectral, spatial, and temporal resolutions. This review aims to show the current and future trends of UAV applications in weed detection in the crop field. This study systematically searched the original articles published from 1 January 2016 to 18 June 2021 in the databases of Scopus, ScienceDirect, Commonwealth Agricultural Bureaux (CAB) Direct, and Web of Science (WoS) using Boolean string: “weed” AND “Unmanned Aerial Vehicle” OR “UAV” OR “drone”. Out of the papers identified, 144 eligible studies did meet our inclusion criteria and were evaluated. Most of the studies (i.e., 27.42%) on weed detection were carried out during the seedling stage of the growing cycle for the crop. Most of the weed images were captured using red, green, and blue (RGB) camera, i.e., 48.28% and main classification algorithm was machine learning techniques, i.e., 47.90%. This review initially highlighted articles from the literature that includes the crops’ typical phenology stage, reference data, type of sensor/camera, classification methods, and current UAV applications in detecting and mapping weed for different types of crop. This study then provides an overview of the advantages and disadvantages of each sensor and algorithm and tries to identify research gaps by providing a brief outlook at the potential areas of research concerning the benefit of this technology in agricultural industries. Integrated weed management, coupled with UAV application improves weed monitoring in a more efficient and environmentally-friendly way. Overall, this review demonstrates the scientific information required to achieve sustainable weed management, so as to implement UAV platform in the real agricultural contexts.

13 citations

Journal ArticleDOI
TL;DR: In this article , a WSN monitoring system for young sago palms in mist chambers is presented, and the effect of the functional system with respect to the environmental factors monitored is also discussed.

7 citations

Journal ArticleDOI
TL;DR: In this paper , the authors have surveyed the key technologies in 6G mobile communication systems, as well as their existing and potential applications in smart agriculture, and they have shown that wireless communications play an active role in the development of agriculture and every generation of wireless communication technology drives agriculture to a more intelligent stage.
Abstract: As human society develops, the population is growing explosively and water and land resources are gradually being exhausted due to pollution. Smart agriculture is regarded as having an essential role in addressing the above challenges. Smart agriculture can significantly improve the agro-ecological environment and the yield and quality of agricultural products, and it can reduce the usage of pesticides and chemical fertilizers, thus alleviating the pollution of farmland and improving the sustainability of agricultural activities. The key to smart agriculture is in utilizing information and communication technologies to make agricultural cultivation and production automatic and intelligent. Specifically, wireless communications play an active role in the development of agriculture, and every generation of wireless communication technology drives agriculture to a more intelligent stage. In this article, we first review the wireless technologies which have mature applications in agriculture. Moreover, it is of importance to exploit the up-to-date communication technologies to further promote agricultural development. Therefore, we have surveyed the key technologies in sixth-generation mobile communication systems, as well as their existing and potential applications in smart agriculture.

6 citations