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检索条件"任意字段=2017 International Conference On Smart Technology for Smart Nation, SmartTechCon 2017"

共 4141 条记录，以下是31-40 订阅

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A Value Criteria Approach to Incorporate smart technology in Urban Parks

A Value Criteria Approach to Incorporate Smart Technology in...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Niva Turna Harveen Bhandari Chitkara School of Planning and Architecture Chitkara University Punjab India

With the continuous development of digitalization, developing countries are gradually transforming their cities into smart cities. Parks have been considered to be an intrinsic part of the city landscape, serving as essential components that contribute to the overall functionality and spatial dynamics of the city. They offer numerous advantages to residents, enhancing their quality of life in various ways. However, these invaluable green spaces frequently encounter challenges, including inadequate upkeep and obstacles that impede their accessibility and usability. With numerous problems in cities, the importance of parks is becoming more prominent, as well as the need for their improvement. In recent years, smart parks have proven to be an effective model for improving and reshaping urban parks using smart technology. This paper aims to investigate the smart park concept, explore the possibilities for implementing smart park solutions, and also give a way forward for using smart technology to transform urban parks into smart parks paving the way for sustainable development.

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From Chalkboards to Digital Frontiers: Embracing smart technology for Education Excellence

From Chalkboards to Digital Frontiers: Embracing Smart Techn...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Rajesh Raut Amruta Deshpande Natashaa Kaul Indira School of Business Studies PGDM Pune India Symbiosis Center for Management and Human Resource Development Symbiosis International University Pune India

The advancement of innovative technology in education has continuously evolved. The focus of the emerging education field is identifying ways for sustainability and enhancing quality education using smart technology. This study aims to investigate teachers' efficacy in using smart technology for teaching, their perception of the impact of smart technology implementation in the classroom, and the significance of both factors in predicting teachers' use of smart technology. The variables under study viz., smart Teaching (ST) Perceived Impact of smart technology in the Classroom (PI-STech) and Use of smart technology for Teaching (U-STech) are measured using instruments devised by the researcher with the help of earlier literature. The data from 120 instructors were analyzed using multiple linear regression. All the instructors work as professors in the B School and have used smart technology in their classrooms for at least a year. The study documents that smart teaching and the perceived impact of smart technology in the classroom are both predictors of using smart technology. These research findings are critical in developing a program for technology uptake in B-schools. The study emphasizes the importance of smart teaching in the digital transformation of education and outlines strategies that can be adopted to motivate teachers to embrace innovative technology in education.

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A Novel Distributed Anomaly Intrusion Detection Model for Drone Swarm Network in smart nations

A Novel Distributed Anomaly Intrusion Detection Model for Dr...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Meenal Jain Anshika Arora Department of CSE&IT JIIT Noida Uttar Pradesh India School of Computer Science Engineering and Technology Bennett University Greater Noida Uttar Pradesh India

In the recent years, drones have been extensively used in variety of fields and given the essential nature of drone swarm services, such as network traffic monitoring and search and rescue operations, it is imperative to mitigate security vulnerabilities in the drone swarm network. Computational Intelligence in edge analytics has the ability to enhance predictive capabilities by expediting the conversion of high-level features into actionable insights for remote monitoring and triggering alarms during emergency incidents without depending on backend servers. This study represents a significant advancement in the development of intrusion detection techniques in drone swarm edge computing by proposing a distributed intrusion detection model in drone networks based on real-time data analytics framework utilizing hybrid deep LSTM-IG-SVM architecture. The architecture is validated on the CIDDS-2017 benchmark network attacks dataset. Initial layers of LSTM are employed to extract high-level features of sequential network packets. Information gain implemented on the top of LSTM is used for feature reduction accounting for the energy constraint and computing complexity of drones. The selected features are further used to train SVM for intrusion detection. It is concluded that the proposed hybrid architecture outperforms baseline LSTM with more than 99% of performance accuracy for intrusion detection. The problem of false alarming has also been resolved using the proposed architecture with false alarm rate observed to be as low as 0.1%.

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smart Perspective for Redevelopment of Historic Cities

Smart Perspective for Redevelopment of Historic Cities

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Parminder Kaur Harveen Bhandari Chitkara School of Planning & Architecture Punjab India

Urban centers have increasingly been considered a famous hotspot as millions of people worldwide prefer to migrate into cities in search of better prospects. Historic cities face a multitude of challenges as a result of urbanization coupled with limited existing infrastructure in their surroundings. The adoption of smart perspectives and approaches provides solutions that can tackle these challenges at different levels. By incorporating Information and Communication technology (ICT) driven intelligent solutions into the realm of sustainable urban planning for these cities, not only can significant energy and resource savings be achieved, but it can also enhance the overall well-being of residents, entice tourists, and foster economic growth. This study aims to find out the globally accepted approaches for the redevelopment of historic cities and propose a model integrating smart technology by keeping in mind the historic character of the city. The information utilized in this study was obtained from online academic databases mainly science direct and google scholar. The study has been strengthened by putting case examples of smart historic cities. The study concluded that historic cities need to adopt the smart perspective and digital transformation during redevelopment to incorporate the needs and demands of the inhabitants in light of urbanization.

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Evaluating Energy Consumption Patterns in a smart Grid with Data Analytics Models

Evaluating Energy Consumption Patterns in a Smart Grid with ...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Sushruta Mishra Vandana Sharma T Sivani Ahmed Alkhayyat Tridiv Swain School of Computer Engineering Kalinga Institute of Industrial Technology Bhubaneswar India CHRIST(Deemed to be University) Delhi-NCR India College of Technical Engineering The Islamic University Najaf Iraq

With the rapid pace of technological advancement, it is a well established fact that in today’s era, economical and industrial development go hand in hand with the growth in technology. Today, massive amounts of data are generated everyday and are only growing exponentially. The collected data, whether structured or unstructured, could prove to be very beneficial in terms of improving operational efficiency by analyzing and extracting valuable information to find patterns to optimize asset utilization and improve asset intelligence. Big data analytics can very well contribute to the evolution of the digital electrical power industry. The objective of this paper is to explore how smart grid technology can be enhanced by leveraging big data analytics. Different predictive models are used for the purpose. Among them, decision tree model outperformed others recording a training and tetsing accuracy of 94.4% and 92.7% respectively while noting a least execution latency of only 4.3 seconds.

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The Adoption of smart Agriculture Technologies Based on the Perception of the Farmers in the Indian Context

The Adoption of Smart Agriculture Technologies Based on the ...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Upasana Acharya Badrinarayan Srirangam Ramaprasad Nilesh Kate Abhishek Srivastava Pune Institute of Business Management Pune India Justice KS Hegde Institute of Management (JKSHIM) Nitte (Deemed to be University) India

smart agriculture adoption is a viable sector for investment and growth in India. However, key implementation issues include constant monitoring, necessitating a dependable and resilient network infrastructure. Furthermore, energy harvesting, automated irrigation, and disease prediction are critical areas that need major investment and research. Another issue is a lack of information among farmers, which prevents them from implementing smart agricultural practices. Further key issues include a shortage of funding. Despite these limitations, smart farming has the potential to lower overall costs, improve product quality and quantity, and increase sustainability, making it an attractive area for investment and growth. The objective of this paper is to understand the scope of smart Agri Tech by procuring inferences from first-hand users about the adoption and the key issues faced by them while switching to this unconventional technique of agriculture and the subjective issues that result in the failure of implementation of IoT based. The authors have incorporated in-depth research on the subject and have performed a quantitative analysis to fill this empirical gap in the adoption and implementation of the technology in the Indian context, which can give inferences on the successful execution of the technology.

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Edge Analytics with TinyML Technique for MIoT Applications for Personalized Healthcare in smart nation

Edge Analytics with TinyML Technique for MIoT Applications f...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： D. Jeya Mala T.V. Padmavathy A. Pradeep Reynold Maragatha Meena Vellore Institute of Technology Chennai ASET College of Science and Technology Chennai

Analytics on the edge of an IoT device is utilized in a variety of settings when immediate decisions are required to be made. In order to carry out cloud-based analytics on data collected from the Internet of Things (IoT), the information must first be transmitted from IoT devices and stored in a centralized location for further processing which leads to high turnaround time in order to make necessary decision making. However, in applications that deal with matters of life and death, such as healthcare, this huge turnaround time will not be acceptable. As a result, it is absolutely necessary for analytics to be carried out at the edge in these MIoT applications in order to avoid hazards to human lives. As the resources of IoT devices are very limited, it is impossible to store the actual Machine Learning algorithms to do the processing. Hence, TinyML based applications are becoming increasingly popular in the edge analytics field as a way to alleviate power and resource restrictions. The purpose of this research paper is to shed light on the use of TinyML in MIoT applications for the purpose of conducting effective analyses of patient data in order to deliver personalized healthcare solutions.

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The smart detection of neuro-pathological effects of alzheimer patients using neural networks

The smart detection of neuro-pathological effects of alzheim...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Bharatwaja Namatherdhala Ashween Ganesh Noori Memon J. Logeshwaran Adobe Inc San Jose CA USA Research and Development Fresenius Meidical Care North America Concord CA Dept. of Information Technology Chicago State University Chicago IL USA Department of ECE Sri Eshwar College of Engineering Coimbatore Tamil Nadu India

Neural networks have been increasingly utilized for smart detection of neuro-pathological effects of patients with Alzheimer's Disease. By leveraging the vast amounts of data available through imaging techniques such as magnetic resonance imaging (MRI), researchers have been able to develop deep learning models that accurately classify and diagnose Alzheimer's Disease. These neural networks are trained on the images of brain scans and other associated data as input. Once the algorithms have been trained, they can be used to detect subtle changes in the brain scans of Alzheimer's patients and can pinpoint certain pathology associated with the disease. This automated technique can aid in the early diagnosis and treatment of Alzheimer’s patients, thus improving patient outcomes.

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IoT-BLE Based Indoor Navigation for Visually Impaired People

IoT-BLE Based Indoor Navigation for Visually Impaired People

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international conference on smart Technologies For smart nation (smarttechcon)

作者： S. Mohan Kumar Vivek Vishnudas Nemane Ramakrishnan Raman N. Latha Jaimeel Manojbhai Shah Research and Innovations CMR University Bangalore India Symbiosis Law School (SLS) Pune Symbiosis International (Deemed University) Pune Maharashtra India Symbiosis Institute of Business Management Pune & Symbiosis International (Deemed University) Pune Maharashtra India Department of Computer Science and Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu India Faculty of Engineering and Technology Parul Institute of Engineering and Technology Parul University Vadodara Gujarat India

Indoor navigation and location searches for visually impaired people are challenging due to their nature. The proposed system uses Internet of Things (IoT) technology to give real-time location and navigation aids to blind people. GPS-based systems fail in indoor, making navigation difficult for blind people. Bluetooth Low Energy (BLE) is used to identify the network of smart devices for real-time location and navigation. This system provides IoT infrastructure to deliver real-time aural feedback, turn-by-turn instructions, and customized user-friendly navigation. The technology provides real-time navigation and location-based services to improve the experience. Auditory and tactile signals include room names, neighboring features, and emergency exits. Scalability and versatility make the platform appropriate for indoor positions such as retail malls, airports, and schools.

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Revolutionizing Data Capitalization: Harnessing Blockchain for IoT-Enabled smart Contracts

Revolutionizing Data Capitalization: Harnessing Blockchain f...

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international conference on smart Technologies For smart nation (smarttechcon)

作者： Chintureena Thingom Manoj Ram Tammina Anjali Joshi Sanjay Agal Md Sakiul Islam Sudman Haewon Byeon Department of CSE Alliance College of Engineering & Design Alliance University Bread Financial Columbus Ohio USA Marathwada Mitra Mandal’s Institute of Technology Pune Department of Computer Engineering Dr. V. R. Godhania College of Engineering and Technology Chhaya Porbandar Gujarat India Department of Electrical Engineering University of Texas at Arlington Arlington Tarrant USA Department of Digital Anti-Aging Healthcare Inje University Gimhae Republic of Korea

The use of blockchain smart contracts in the monetization of IoT data assets addresses challenges in personal data ownership, quantifiable tracking of data assets, and efficient value transfer within IoT systems. By leveraging blockchain digital fingerprints, the ownership and control of data are transferred from device manufacturers to users, enabling individual data rights. Through techniques such as lifecycle management and digital signatures, device status and data hash values are stored on the blockchain, ensuring data reliability. smart contracts are used to construct third-party data trading platforms, guaranteeing data sharing security and facilitating seamless data monetization and value transfer. Quantitative analysis of attack possibilities and success probabilities demonstrates that blockchain smart contract technology provides data tamper resistance and eliminates trust issues in data transactions. With the aid of blockchain smart contracts, the association of IoT data becomes feasible, facilitating the transfer and sharing of data values among IoT devices.

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