检索结果-内蒙古大学图书馆

International Conference on Computing and Networking Technology (ICCNT)

作者： Anurag Sinha Vandana Sharma Monika Gupta G. Madhukar Rao Arman Raj Anita Kumari Ahmed Alkhayyat Department of Computer Science and Information Technology IGNOU New Delhi India Institute of Information Technology CHRIST University Department of Physics Rungta College of Engineering and Technology Bhilia CG India Koneru Lakshmaiah Education Foundation India School of Computing Science and Engineering Galgotias University Greater Noida India RKDF University College of Technical Engineering The Islamic University Najaf Iraq

Smell technology, a rapidly expanding sector of the scent business, aims to digitally replicate and transmit aromas. Its applications include virtual reality, e-commerce, and healthcare. Recent advances in the field include the creation of smell algorithms and the use of artificial intelligence to create more realistic fragrances. Fragrance algorithms are mathematical models that predict the scent of a fragrance based on its chemical composition. They might be used to the perfume industry to streamline the production of perfumes and do away with the need for expensive trial-and-error methods. Artificial intelligence is also being used to create digital representations of fragrances that closely resemble the real thing by analysing the chemical composition of actual odours. A possible benefit of this technology in the healthcare sector is that synthetic odours may mimic the scents of diseases and aid physicians in making more precise diagnoses. Additionally, some companies are developing small devices that can be connected to computers or mobile devices to emit odours on demand, providing users of virtual reality, gaming, and online shopping with a more realistic experience. In spite of these advancements, it is still exceedingly challenging to recreate the complexity of natural scents, which can include hundreds of different components. With more research and development, there is still a tonne of promise for fragrance technology in the future.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Receiver-Based Data Communication for Wireless Sensor Networks

Receiver-Based Data Communication for Wireless Sensor Networ...

引用

Advances in Computing, Communication and Applied Informatics (ACCAI), International Conference on

作者： Chitra Kiran. N Jai Parkash Sreevardhan Cheerla P. Shanmugaraja M. Manohara Parul Madan Department of Electronics and Communication Engineering Alliance University Bangalore Karnataka India Department of Computer Science and Engineering Gulzar Group of Institutes Khanna Punjab India Department of Electronics and Communications Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram Andhra Pradesh India Department of Information Technology Sona College of Technology Salem Tamil Nadu India School of Engineering Mohan Babu University Tirupati Andhra Pradesh India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India

As the Web of Things (IoT) has created throughout recent years, unlicensed radio range has become more clogged with brilliant wireless gadgets that are utilized in an assortment of use spaces, prominently the 2.4 GHz ISM band. One of the easiest and most productive answers for energy-compelled networks is the wake-up receiver (WuRx). Rather than utilizing a conventional radio, this innovation empowers energy-independent on-request communication for persistent observing. One of the WSN methods that utilizes the most investment is directing. Consequently, planning an energy-effective steering procedure is fundamental. This exploration proposes Grouped WuRx based on Multicast wake-up (CWM), a progressive Wake-up Receiver-based directing convention that all the while streamlines energy use and time productivity for indoor conditions. In our proposed technique, bunches are made inside the organization. Estimation discoveries show that, in contrast with past directing conventions, our proposed arrangement has much better execution as far as conveyance delay and further developed energy effectiveness.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Integrating Artificial Intelligence for Sustainable and Adaptable Architecture

Integrating Artificial Intelligence for Sustainable and Adap...

引用

International Conference on Computational and Characterization Techniques in engineering & Sciences (CCTES)

作者： Valapula Lalitha Regidi Suneetha Basi Reddy A Nilesh R. Mate Syeeda Mujeebunnisa Department of CSE(AI&ML) Sai Spurthi Institute of Technology India Department of ECE Sanketika Vidya Parishad Engineering College Visakhapatnam India Department of Computer Science and Engineering School of Computing Mohan Babu University Tirupati India Centre for Distance and Online Education Bharati Vidyapeeth (Deemed to be University) Pune India School of Science and Computer Studies CMR University Bengaluru India

ISBN: (数字)9798350364699

ISBN: (纸本)9798350364705

In nature, flexibility is essential, and AI may enhance it in architecture. The article integrates AI to develop self-learning buildings that can adapt to future obstacles. This research aims to create structures that use sensors to gather environmental data and respond. Phases comprise this study's strategy. In Phase 1, AI in architecture is extensively researched. That study in Phase 1 guided Phase 2's building design. The parametric building design in phase 2 uses machine learning and computational design techniques. Grasshopper scripting and Rhino modelling were used to create an algorithm that would create shapes that would both biomimetic the process of coral growth and be tailored to the project's chosen location. The selection procedure for the produced experimental investigations is shown in Phase 3. To determine which type used the least amount of energy, many evaluations were conducted, including measurements of sunshine, radiation, and shadows. Phase 4 involves developing the shape to improve the building's efficiency. Phase 5 involves conducting performance assessments to demonstrate that the final form is highly adaptable and climatic or ecologically sensitive. This building's radiation exposure, according to the research, is between 200 and 300 kWh/m 2 . According to the shadow study, the building shape casts a shadow for eight hours. According to the analysis, the building's shape makes it more adaptive by reducing its energy use. An AI engine technology is used in the last stage to forecast the building's future growth. By incorporating technology into building design, we may create flexible structures that reduce building energy use and contribute to the creation of a sustainable world

关键词： Phase measurement Shape Architecture Shape measurement Buildings Energy measurement computer architecture Energy efficiency Sensors Artificial intelligence

来源：评论

学校读者我要写书评

暂无评论

Timing-Driven High-Level Synthesis for Continuous-Flow Microfluidic Biochips

Timing-Driven High-Level Synthesis for Continuous-Flow Micro...

引用

IEEE International Symposium on Quality Electronic Design

作者： Zhengyang Ye Zhisheng Chen Youlin Pan Genggeng Liu Wenzhong Guo Tsung-Yi Ho Xing Huang College of Computer and Data Science Fuzhou University Fuzhou China Engineering Research Center of Big Data Intelligence Ministry of Education Fuzhou China Fujian Key Laboratory of Network Computing and Intelligent Information Processing Fuzhou University Fuzhou China School of Informatics Xiamen University Xiamen China Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong China School of Computer Science Northwestern Polytechnical University Xi’an China

ISBN: (数字)9798350309270

ISBN: (纸本)9798350309287

As continuous-flow microfluidic biochips technology rapidly advances, its automated synthesis methods require adapting to increasingly complex and stringent biochemical applications. In particular, with the introduction of time-sensitive bioassays, in this work, we present a timing-driven high-level synthesis method to optimize the resource efficiency of bioassays considering the time constraints. Specifically, we investigate the existing forms of time constraints and propose a corresponding flexible modeling approach based on reaction-control which can achieve downward compatibility for physical design. Additionally, we also analyze the impact of storage and wash on time constraints. The experimental results show that our method achieves efficient execution and low devices cost while satisfying time constraints.

关键词： Costs Biochips Time factors Microfluidics Physical design

来源：评论

学校读者我要写书评

暂无评论

A Comprehensive Framework for Data-Driven Management of Chronic Pain with Machine Learning and Advanced Analytics

A Comprehensive Framework for Data-Driven Management of Chro...

引用

International Conference on ICT in Business Industry & Government (ICTBIG)

作者： Seeniappan Kaliappan S. Socrates D. Ravi Gotte Ranjith kumar Department of Mechatronics Engineering KCG College of Technology Chennai TN India Department of Mechanical Engineering Velammal Institute of Technology Chennai TN India Mechanical engineering department Bharath Institute of Higher Education and Research. Chennai TN India School of Computer Science & Artificial Intelligence SR University Warangal Telangana India

Chronic pain management presents a complex challenge in healthcare, demanding innovative approaches for effective intervention. This research introduces a comprehensive framework leveraging machine learning and advanced analytics to address this challenge. In addition, the platform employs cutting-edge analytics to sift through the ocean of healthcare data in search of knowledge applicable to real-world scenarios. By identifying trends in patients' responses to therapies and disclosing associations between various aspects of lifestyle and pain levels, analytics are crucial for determining the most effective method for treating chronic pain. The proposed methodology integrates predictive modeling, forecasting, and treatment optimization algorithms to personalize chronic pain management strategies. By harnessing patient-specific data, including historical pain records, genetic factors, and lifestyle information, the framework aims to enhance accuracy in predicting pain severity, forecasting future pain episodes, and optimizing treatment plans.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Using String Data to Estimate the Shading Loss of Solar Power Plants

Using String Data to Estimate the Shading Loss of Solar Powe...

引用

International Conference on Contemporary Computing and Informatics (IC3I)

作者： R.K Tripathi Kuldeep Rana Komal Yadav K. Yuvaraj G. Premananthan Vishwesh Deshmukh School of Mechanical Engineering Dev Bhoomi Uttarakhand University Dehradun India Department of Computer Applications Invertis University Bareilly India School of Medical & Allied Sciences K. R. Mangalam University Gurugram India Department of Computer Science Karpagam Academy of Higher Education Coimbatore India Department of Electronics and Communication Engineering Karpagam College of Engineering Coimbatore India Electrical Engineering Vishwakarma Institute of Information Technology Pune India

Aside from a greater emphasis on energy rationalization and efficiency, decentralized electricity supply methods are becoming increasingly significant for the world's energy supply, and their role in power consumption is growing. Examples of these sources include solar and wind energy. While installing photovoltaic (PV) systems, it is imperative to be cognizant of the great nation regulatory backdrop because energy projects typically require significant long-term financial investments. In the recent years, there has been a tendency towards the construction of new photovoltaic power plants mostly employing conventional crystalline PV to pinpoint the system's faulty components. This article uses a PV system in Hungary to illustrate the energy correlations of shading. This study's objective is to present a method for classifying the operational features of strings and PV power plants based on monitoring data, allowing for the estimation of the yearly energy loss. Since the solution is simple to adapt to real-time management and monitoring platforms but it makes the internationalization of Photovoltaic system easier, the model's creative novelty is that its application can provide practical assistance for the operator of Photovoltaic systems across the world potentially troublesome strings, enabling a more targeted examination of PV power installations. The model's new practical advantage is that it makes it easy to identify any power losses due to improper operation (e.g., incorrect inverter operation, adverse effects of trees as well as other objects, or improper spacing among both chords of PV power plants) through a more straightforward calculation mechanism. For the safety of the Photovoltaic panels, the later reconstruction of a strands, or even the solution to issues under warranty, early fault detection is crucial. Also, it is possible to identify any unfavorable changes in the fund's economic characteristics by calculating the annual wasted energy from shading.

关键词：

来源：评论

学校读者我要写书评

暂无评论

On optimization efficiency of scalability and availability of cloud-based software services using scale rate limiting algorithm

引用

Measurement: Sensors 2022年 24卷

作者： V N Reddy, Annapareddy Kumar, A. Arun Venu, Nookala Vijaya Kumar Reddy, R. Department of Information Technology Lakireddy Bali Reddy College of EngineeringMylavaram Andhra Pradesh India Department of Computer Science and Engineering Marri Laxman Reddy Institute of Technology & Management Hyderaba500043 India Department of Electronics and Communication Engineering Balaji Institute of Technology and Science Warangal506331 India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation AP Vaddeswaram India

Internet applications nowadays combine globally shared resources into a single software platform. It's a difficult technology issue to supply reports for the resource consumption among those World Wide Web applications. The formulation and simulation of spread levels were introduced in this report. Spread frequency operates together again to impose a worldwide speed restriction over revenue aggregated at several locations allowing for the synchronized monitoring of an internet company's activity. Assures that traffic delays mass transit streams act as passing through a unique, common limitation network. We describe two models overall and the other TCP-optimized—that permits network operators to expressly balance away transmission cost with network correctness, speed, and scaling. All these approaches could speed restrict 1000s of streams with little expense (less than 3% in the tested configuration). We show that with us TCP-centric architecture could scale to hundreds of servers whilst remaining resilient towards both outages and transmission postponement, suitable for countrywide telecom operators. © 2022 The Authors

关键词： Application programs

来源：评论

学校读者我要写书评

暂无评论

Utilisation of Virtual Assistant and Its Impact on Retail Industry 6

Utilisation of Virtual Assistant and Its Impact on Retail In...

引用

6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022

作者： Seranmadevi, R. Chakraverty, Shibani Raj, Bhoomika Kudapa, Vamsi Krishna Hepziba, R. Esther Suleimenova, Kymbat Christ University Department of Professional Studies Bangalore India Amritapuri Kollam Aich Department of English Amrita Vishwa Vidyapeetham India University of Massachusetts Ethakota College of Information and Computer Sciences AmherstMA United States Chemical Engineering UPES India BBA Madras Christian College India International Education Corporation Department of Design Almaty Kazakhstan

ISBN: (纸本)9781665410359

Virtual assistant is nothing but an independent contractor, who offers administrative services to the clients of a particular organisation while operating outside of the office of the client. Generally, a virtual assistant operates from a home-based office. This virtual assistant application has the ability to access the required planning documents, such as shared calendars. The contemporary retail organisations like e-commerce companies in this competitive global business environment are using virtual assistant to enhance omnichannel experience, 24/7 customer service, order tracking, and product recommendations. Overall, virtual assistant helps the organisations in enhancing social media management activities. This concept of the use of virtual assistant has been significantly emerged after the increase in demands for e-commerce business activities in this decade. Research objectives related to the title of this research are developed and listed. Relevant theories on virtual assistant are applied in the literature review section of this study. The researcher has decided to adopt qualitative research methodology to achieve the objectives of the research. Moreover, the researcher has considered secondary data analysis approach to conduct this research. In terms of findings, it has been identified that virtual assistant has a positive impact on the business operation activities of retail organisations. Authentic secondary sources are considered to collect and analyse the data. Some challenges associated with the utilisation of virtual assistant also have been identified in the findings section. Some valuable recommendations are suggested for the future researchers to overcome those identified associated challenges. © 2022 IEEE.

关键词： Sales

来源：评论

学校读者我要写书评

暂无评论

An Optimal Evader-Pursuer Strategy based on Machine Learning and Differential Game

An Optimal Evader-Pursuer Strategy based on Machine Learning...

引用

2021 International Conference on Robotics Automation and Intelligent Control, ICRAIC 2021

作者： Wang, Jingjie Chen, Xiangwei Yu, Yongjia Yuan, Bingchang Jin, Chufeng Renzhu Li, Heng School of Computer Science and Engineering Central South University Hunan Changsha China School of Automation Central South University Hunan Changsha China School of Business Central South University Hunan Changsha China School of Education and Arts Hunan College of Foreign Studies Hunan Changsha China

Based on the special differential game model of evader and pursuers, in this paper, we propose an optimal escape and containment strategies of evader and pursuers, and gives the escape boundary conditions of evader. Through the training of DDPG and A3C algorithms, the evader have the ability to escape autonomously, and the evaluation system is established with the reward value, the number of rounds, the success rate of escape and the ratio of escape speed as the main indicators. Taking different pursuer-evader speed ratios under DDPG and A3C as key indicators, a quantitative evaluation system was established, and the evaluation results verify the effectiveness of the proposed approach. © 2022 Institute of Physics Publishing. All rights reserved.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Big Data Analytical Engine for Exploring the Power in Modern Business

Big Data Analytical Engine for Exploring the Power in Modern...

引用

Evolutionary Algorithms and Soft Computing Techniques (EASCT), International Conference on

作者： Shreya Patchala Enquero Manoj Kumar Padhi Nagendar Yamsani M. Anitha Revanasiddappa Revanasiddappa Global-A Genpact Company Bangalore India Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaadeswaram India School of Computer Science and Artificial Intelligence SR University Warangal India IT Department Malla Reddy Engineering College for Women Hyderabad India Department of AI and ML Nitte Meenakshi Institute of Technology Bengaluru India

Most current applications of Big Data focus on examining consumer preferences and feedback expressed through social media and legitimate websites. Data is generated by all parties involved in the company, including mobile device location data and data created by machines with high-tech sensors, automated controls, and relevant software. We are currently living through an Internet revolution fueled by Big Data following the Industrial and Internet revolutions. Therefore, the implementation of Big Data platforms represents a significant opportunity for enterprises today. This article presents three case studies that highlight the potential of Big Data in the cellular phone business, online retail, and insurance sales over the Internet. To help companies locate, gather, and analyze huge amounts of data, a Big Data Analytical Engine has been proposed. From the analysis, it clearly shows that proposed model achieves better results in terms of accuracy (0.92), precision (0.93), recall (0.91) and f1-score (0.92) respectively.

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：