Paddy (rice) is the main food for the Indonesian people so that stable production is needed to meet domestic needs. However, data in 2023 showed a decline in rice production in Indonesia. the decline was due to pests ...
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ISBN:
(数字)9798350355314
ISBN:
(纸本)9798350355321
Paddy (rice) is the main food for the Indonesian people so that stable production is needed to meet domestic needs. However, data in 2023 showed a decline in rice production in Indonesia. the decline was due to pests and diseases that attacked rice plants. the lack of experience and knowledge of farmers in handling and detecting rice diseases is also a factor in the decline in rice productivity. this study aims to develop a computer-aided diagnosis (CAD) system for rice leaf diseases based on CNN algorithms. In creating CAD applications, this study proposes a new CNN architecture based on a modification of the MobileNetV3 architecture. the dataset used comes from direct data collection from rice fields in Indonesia which is then added with public data from Kaggle data totalling 6933 rice leaf images. Based on the results obtained, this study succeeded in surpassing the previous research benchmark with an average accuracy, precision, recall and F -1 Score value reaching 93%.
the ordering of items of an array/list in a certain sequence is one of the crucial topics in computer science. Sorting algorithms determines the new order of elements in a data structure typically in arrays and lists,...
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Maintaining healthy eating habits is essential for the overall health and well-being across all ages. While mobile dietary applications offer assistance, their complexity of meal logging and often poor design limit wi...
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Real objects such as appliances, automobiles, and other gadgets are part of the Internet of things. this network offers data transmission between these things to allow for a high level of integration of the physical w...
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In recent years, many of the location-based queries have been proposed that consider the proximity of spatial sites to provide users with information. However, most studies focus on a single type of sites and do not c...
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Accessibility expresses the right for people with disabilities and with special needs to be able to access, navigate, interact, and contribute to information available on computers, electronic equipment, and the Inter...
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the deep integration of IoT into our daily lives has made the security of IoT everyone's priority, from IoT device manufacturers to IoT developers and final customers. Even though every year millions of IoT device...
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ISBN:
(纸本)9798350369328
the deep integration of IoT into our daily lives has made the security of IoT everyone's priority, from IoT device manufacturers to IoT developers and final customers. Even though every year millions of IoT devices are introduced to the market, security, and privacy have not been competently addressed. Based on the survey of IoT challenges, IoT applications face many threats in Network communication, storage access, device identification and Authentication, program execution, firmware update, Secure Boot, etc. IoT devices are vulnerable to attacks, which breach the security and privacy of users and systems. Commonly most IoT applications are deployed using common operating systems that do not address IoT specialized security requirements. this paper introduces xPython, a novel secure-by-design operating system for IoT subsystems (devices and gateways). xPython provides transparent security solutions for common threats in addition to a security library for custom security implementation. xPython minimizes the time required to develop security features. xPython is secure by design to ensure security features are included at all stages of product creation and deployment. this paper proposes a new architecture for IoT operating systems, and it ends with a complete prototype implementation. the proposed architecture integrates security services inside operating system layers. It affects device initiation, communication protocols, application deployment, and application execution, ensuring software is executed securely, including non-secure applications (secure boot) and storage access. the proposed security solutions are inspired by previous work in Smart Cards. Smart Cards are considered a trusted environment for identification, authentication, and confidentiality. Finally, xPython is built over a real-time operating system to fulfill embedded systems requirements. the xPython development is also performed using Micro-Python to simplify the development process and reduc
Withthe feature size continuously shrinking in advanced technology nodes, mask optimization is increasingly crucial in the conventional design flow, accompanied by an explosive growth in prohibitive computational ove...
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ISBN:
(纸本)9781665445078
Withthe feature size continuously shrinking in advanced technology nodes, mask optimization is increasingly crucial in the conventional design flow, accompanied by an explosive growth in prohibitive computational overhead in optical proximity correction (OPC) methods. Recently, inverse lithography technique (ILT) has drawn significant attention and is becoming prevalent in emerging OPC solutions. However, ILT methods are either time-consuming or in weak performance of mask printability and manufacturability. In this paper, we present DevelSet, a GPU and deep neural network (DNN) accelerated level set OPC framework for metal layer. We first improve the conventional level set-based ILT algorithm by introducing the curvature term to reduce mask complexity and applying GPU acceleration to overcome computational bottlenecks. To further enhance printability and fast iterative convergence, we propose a novel deep neural network delicately designed with level set intrinsic principles to facilitate the joint optimization of DNN and GPU accelerated level set optimizer. Experimental results show that DevelSet framework surpasses the state-of-the-art methods in printability and boost the runtime performance achieving instant level (around 1 second).
In order to solve the problem of detecting CO2 concentration in the air, an information acquisition and concentration monitoring system based on CO2 concentration sensor is designed. Firstly, the overall framework of ...
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Path-based Analysis (PBA) is a pivotal step in Static Timing Analysis (STA) for reducing slack pessimism and improving quality of results. Optimization flows often invoke PBA repeatedly with different critical path co...
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ISBN:
(纸本)9781665445078
Path-based Analysis (PBA) is a pivotal step in Static Timing Analysis (STA) for reducing slack pessimism and improving quality of results. Optimization flows often invoke PBA repeatedly with different critical path constraints to verify correct timing behavior under certain logic cone. However, PBA is extremely time consuming and state-of-the-art PBA algorithms are hardly scaled beyond a few CPU threads under constrained search space. In order to achieve new performance milestone, in this work, we propose a new GPU-accelerated PBA algorithm which can handle extensive path constraints and quickly report arbitrary number of critical paths in constrained search space. Experimental results show that our algorithm can generated identical path report and achieve up to 102x speed up on a million-gate design compared to the state-of-the-art algorithm.
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