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TQCEBT 2024 - 2nd IEEE international conference on Trends in Quantum computing and Emerging Business technologies 2024

TQCEBT 2024 - 2nd IEEE International Conference on Trends in...

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2nd IEEE international conference on Trends in Quantum computing and Emerging Business technologies, TQCEBT 2024

ISBN: (纸本)9798350384277

The proceedings contain 276 papers. The topics discussed include: clipping distortions mitigations and comparison of BPSK-DCO-OFDM with OOK-DCO-OFDM in visible light communication;optimizing food production with a sustainable lens: exploring blockchain technology in raw plant materials and organic techniques in achieving sustainable development goals;predicting epileptic seizures with precision a comprehensive study of ML algorithms;modelling agriculture productivity and spotting diseases using deep learning and image processing;moving vehicle registration plate detection using machine learning;application of zero-shot learning in computer vision for biodiversity conservation through species identification and tracking;facial expression recognition with transfer learning: a deep dive;and quantitative analysis of tomato prices in Maharashtra and Gujarat.

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2nd international Symposium on Network-Centric Ubiquitous Systems, NCUS 2006, 2nd international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2006, 2nd international Workshop on RFID and Ubiquitous Sensor Networks, USN 2006, 1st international Workshop on Trustworthiness, Reliability and services in Ubiquitous and Sensor networks, TRUST 2006, 1st international Workshop on Embedded Software Optimization, ESO 2006 and 1st international Workshop on Multimedia Solution and the Assurance in the Ubiquitous Information Systems, MSA 2006 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, EUC 2006

2nd International Symposium on Network-Centric Ubiquitous Sy...

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2nd international Symposium on Network-Centric Ubiquitous Systems, NCUS 2006, 2nd international Workshop on Security in Ubiquitous computing Systems, SecUbiq 2006, 2nd international Workshop on RFID and Ubiquitous Sensor Networks, USN 2006, 1st international Workshop on Trustworthiness, Reliability and services in Ubiquitous and Sensor networks, TRUST 2006, 1st international Workshop on Embedded Software Optimization, ESO 2006 and 1st international Workshop on Multimedia Solution and the Assurance in the Ubiquitous Information Systems, MSA 2006 held in conjunction with the ifip international conference on Embedded and Ubiquitous computing, EUC 2006

ISBN: (纸本)3540368507

The proceedings contain 106 papers. The special focus in this conference is on NCUS 2006 Symposium, SecUbiq 2006 Workshop, USN 2006 Workshop, TRUST 2006 Workshop, ESO 2006 Workshop and MSA 2006 Workshop. The topics include: A preliminary study on impact of dying of solution on Adaptive Router Promotion in Ad-Hoc Networks, A Utility-Based Auction Cooperation Incentive Mechanism in Peer-to-Peer Networks, UbiqStor: Server and Proxy for Remote Storage of Mobile Devices, Packet Length Adaptation for Energy-Proportional Routing in Clustered Sensor Networks, A New Context Script Language for Developing Context-Aware Application Systems in Ubiquitous computing, Dynamic Replication Strategies for Object Storage Systems, A Cost-Effective Mobility Modelling in Nested Network Mobility, Completing UML Model of Component-Based System with Middleware for Performance Evaluation, Energy Efficient PNC Selection Procedure for the IEEE 802.15.3-Based HR-WPAN, An Efficient Multicast Routing Protocol in Multi-rate Wireless Ad Hoc Networks, and WPAN Platform Design in Handset Integrating Cellular Network and Its Application to Mobile Games.

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Performance evaluation of image enhancement using hybrid binary bat optimization 2

Performance evaluation of image enhancement using hybrid bin...

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2nd IEEE international conference on Next Generation computing technologies, NGCT 2016

作者： Kaur, Kirandeep Bawa, Navneet Computer Science and Engineering Amritsar College of Engineering and Technology Amritsar India

ISBN: (纸本)9781509032570

Image enhancement plays main role in digital image processing applications. Enhancement means highlighting main details and improving features and quality of images and making images more visually appealing. Image enhancement finds its applications in many fields of agriculture, education, forestry, remote sensing, fingerprint matching etc. In this research work, the focus is on underwater images, various existing techniques are available to enhance the underwater images but there are some issues that still need improvement. In this paper, we have used hybrid method DWT-SVD with binary bat optimization to improve the underwater images. The simulation results show that hybrid method i.e. DWT-SVD with binary bat optimization and its comparison with existing method i.e. DWT-SVD which is further compared by the various parameters such as: Bit Error Rate, Entropy, Normalized Cross correlation. This proposed method shows better results as compared to the existing technique. © 2016 IEEE.

关键词： Discrete wavelet transforms

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Study on the way of production, life and thinking of farmers in mobile internet era 7

Study on the way of production, life and thinking of farmers...

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7th ifip WG 5.14 international conference on computer and computing technologies in agriculture, CCTA 2013

作者： Yang, Yong Wang, Wensheng Guo, Leifeng Sun, Zhiguo Li, Xiufeng Agricultural Information Institute Chinese Academy of Agricultural Sciences Beijing100081 China

ISBN: (纸本)9783642543401

The mobile Internet and 3G mobile terminal has brought profound changes to people's life in the city, and also affected the way of production, life and thinking of farmers gradually. Due to the surveys conducted in various counties of China, Farmers are possible to obtain and share mass of external information and communicate with others far away from them whenever and wherever. However, the mobile internet just solved the hardwares of information acquirement. How to get the useful information, how to identify the information and how to use the information? All these questions have always baffled the farmers. Based on that, the author put forward suggestion as using cloud computing and cloud services to integrate and share agricultural and rural production and living information, equipping grass-root agricultural technician with 3G terminal to help farmers dealing with practical problems in agricultural production and using SNS to help farmers setting up mobile Internet social relationships for information sharing to solve all these problems in mobile internet era. © ifip international Federation for Information Processing 2014.

关键词： Cloud computing

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A chinese mobile phone input method based on the dynamic and self-study language model

A chinese mobile phone input method based on the dynamic and...

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作者： Zhu, Qiaoming Li, Peifeng Ping, Gu Peide, Qian School of Computer Science and Technology of Soochow University Suzhou215006 China

ISBN: (纸本)3540368507

This paper birefly introduces a Chinese digital input method named as CKCDIM (CKC Digital Input Method) and then applies it to the Symbian OS as an example, and it also proposes a framework of input method which adopted the Client/Server architecture for the handheld computers. To improve the performance of CKCDIM, this paper puts forward a dynamic and self-study language model which based on a general language model and user language model, and proposes two indexes which are the average number of pressed-keys (ANPK) and the hit rate of first characters (HRFC) to measure the performance of the input method. Meanwhile, this paper brings forward a modified Church-Gale smoothing method to reduce the size of general language model to meet the need of mobile phone. At last, the experiments prove that the dynamic and self-study language model is a steady model and can improve the performance of CKCDIM. © ifip international Federation for Information Processing 2006.

关键词： Cellular telephones

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A Comprehensive Study of Using Internet of Things (IOT) in Monitoring System for Smart agriculture 2

A Comprehensive Study of Using Internet of Things (IOT) in M...

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2nd international conference on Advance computing and Innovative technologies in Engineering, ICACITE 2022

作者： Kumhar, Sajadul Hassan Rafi, Shaik Mohammad Gupta, Ayan Das Prakash, Vishal Kirmani, Mudasir M Shukla, Surendra Kumar Sri Satya Sai University of Technology and Medical Sciences Department of Computer Science Sehore India Artificial Intelligence and Information Technology Sri Mittapalli Engineering College India WBES Chandernagore Government College Chandernagore Government College Affiliated to the University of Burdwan Postgraduate Department of Geography West Bengal Hooghly India Department of Geography U.P. Basti272001 India Computer Science FoFy SKUAST-Kashmir Division of Social Science India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665437899

Well-designed IoT (Internet of Things) technologies are a major part of real-time system management. The IoT technologies considered wireless sensors to manage power consumption through power management. The sensor networks based on the sensing nodes provide efficient power management tools for the smart connection. The wireless system measures the power voltage and power consumption. Implementation of IoT and other technologies are effective to promote a smart agricultural system over the traditional methods. Secondary qualitative method is used to gather all the data regarding the implementation and the effectiveness of IoT. Findings and analyses suggested that the Basic IoT system is affordable for agricultural farms;however, the inclusion of special features in the smart sensors increases the cost significantly. Moreover, farms and villages have a poor internet connection which results in poor data transfer between farmers and agricultural experts. © 2022 IEEE.

关键词： Internet of things

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Artificial Intelligence and Vedic Scripture in Digital agriculture for Global Economy 2

Artificial Intelligence and Vedic Scripture in Digital Agric...

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2nd IEEE international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, ICIITCEE 2024

作者： Sharma, Sachin Tomar, Muskan Tyagi, Ranu Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350306415

Artificial intelligence (AI) and vedic scripture are progressively being utilized in digital agribusiness to progress the proficiency, supportability, and efficiency of cultivating operations for global economy. In this paper, AI and vedic scripture analyzed expansive sums of information and give bits of knowledge that offer assistance ranchers make more educated choices around their cultivating operations. These innovations can be utilized in an assortment of ways in digital agribusiness, from observing wellbeing and optimizing water system to anticipating trim yields and distinguishing trim maladies. In this way, AI and vedic scripture have the potential to convert the agrarian industry and make it more maintainable and profitable. © 2024 IEEE.

关键词： Artificial intelligence

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A Review of Using Artificial Intelligence and Machine Learning in Food and agriculture Industry 2

A Review of Using Artificial Intelligence and Machine Learni...

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2nd international conference on Advance computing and Innovative technologies in Engineering, ICACITE 2022

作者： Pallathadka, Harikumar Jawarneh, Malik Sammy, F. Garchar, Vipul Sanchez, T. Naved, Mohd Manipur International University Manipur Imphal India Gulf College Faculty of Computing Sciences Oman Dambi Dollo University Department of Information Technology Ethiopia Junagadh Agricultural University Junagadh India Cebu Technological University-NEC City of Naga Cebu6037 Philippines Amity University UP Noida India

ISBN: (纸本)9781665437899

Food needs are rising as the world's population grows. Similarly, the food processing industry is growing at an accelerated pace. Reduced food waste, better supply chain management, and increased delivery and storage of food are urgently required. These goals can be achieved to a large part with the use of artificial intelligence and machine learning. When a computer software can learn to anticipate future events without being programmed, it is known as machine learning. Supervised learning and unsupervised learning are two of the most common subcategories of machine learning. In this post, we'll look at how AI and machine learning are being used in the food and agricultural sector. Supply chain optimization, crop selection, logistics, food delivery, maintenance prediction in food processing machinery, detection of crop disease, smart irrigation, crop yield prediction, tracking of perishable food, soil data analysis, and weather data analysis are all major applications. © 2022 IEEE.

关键词： Forecasting

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An efficient agricultural marketing system for optimizing the benefits of farmers 2

An efficient agricultural marketing system for optimizing th...

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2nd international conference on Intelligent computing, Instrumentation and Control technologies, ICICICT 2019

作者： Krishna, S. Midhul, M.S. Pillai, Rahul R. Amrita Vishwa Vidyapeetham Department of Computer Science and Applications Amritapuri India

ISBN: (纸本)9781728102832

India has been an agro-based country for decades. Much of the country still relies upon agriculture for their livelihood. The drastic growth of the population has led to a multifold rise in demand for food and crops, giving away ample opportunities in the agriculture sector to expand upon a commendable rate. Despite the higher demands and opportunities, the agriculture sector in India has not proven to be very lucrative. Similarly, poor living conditions are a clarification for the suicides of Indian farmers to the most recent figures of Indias Ministry of agriculture. While many factors have contributed to this, two of the main are transportation facilitation and middlemen between the producers and the customers. Bringing the finished goods from the farms to the nearby towns in large amounts accounts for a considerable amount of effort and price. The middlemen make more profits than the farmer, as he is unaware of the markets and its demands. The consistent graph of employment switch to agriculture to other sectors from the past two decades explains why these two reasons are highly influential. The need of the hour is to define an efficient solution to these two primary problems based on all the acting metrics. © 2019 IEEE.

关键词： agriculture

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Innovations in Agri-Tech: A Review of Artificial Intelligence Applications and Challenges in Modern agriculture 2

Innovations in Agri-Tech: A Review of Artificial Intelligenc...

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2nd international conference on Advanced computing and Communication technologies, ICACCTech 2024

作者： Agarwal, Rupanshi Bhardwaj, Isha Sharma, Ashish Kumar Sanghi, Akash Agarwal, Gaurav Invertis University Department of Computer Science and Engineering Bareilly India Kothiwal Institute of Technology and Professional Studeis Department of Applied Science and Humanities Moradabad India Invertis University Department of Computer Applications Bareilly India

ISBN: (纸本)9798331519056

Artificial intelligence (AI) is driving a massive shift in the agriculture industry, which is essential to both global food security and economic stability. This review article explores the use of AI technologies in agriculture, outlining their current and potential future applications while charting their evolution. We examine several AI applications such as computer vision, machine learning, robots and the (IoT) Internet of Things, highlighting their contributions to increasing efficiency, streamlining resource allocation, and strengthening decision-making. Machine learning techniques are utilized for predictive analytics in disease identification and crop yield estimation, while computer vision supports plant health monitoring and harvesting automation. Planting, weeding, and harvesting chores are revolutionized by robotics, and data collecting for precision agriculture is made easier by IoT devices in conjunction with sensors. Additionally, by offering indepth analyses of the soil and crops, drones and satellite imagery are essential to precision farming. The technological, financial, and social barriers to the broad adoption of AI are also covered in this study. These barriers include poor data quality, expensive implementation, and moral dilemmas with regard to labour displacement and environmental effects. In this paper, we propose that the future of global food security and sustainability depends on the strategic application of AI in agriculture. In order to fully realize the potential of artificial intelligence in agriculture Strategic implementation will determine the sustain ability and future of global food security. In this order, this study attempts to direct future research and policy development by offering a thorough overview of existing technology, applications, and difficulties. © 2024 IEEE.

关键词： Smart agriculture

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