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4th Biennial International Conference on Nascent Technologies in Engineering, ICNET 2021

作者： Soumya, S. Kumar, Pramod Cochin University of Science and Technology Dept. of Computer Applications Kerala Cochin India

ISBN: (纸本)9781728190617

Fine-Grained Sentiment Analysis (FGSA) of Malayalam Tweets have been implemented in this work. The tweets are classified into positive, strongly positive, negative, strongly negative, and neutral sentiments. Both lexicon-based and machine learning-based approaches are used for sentiment classification of Malayalam Tweets. Lexicon based approach uses both dictionary-based and corpus-based approach. The dictionary-based approach is used in this work. The machine learning algorithms such as Support Vector Machine (SVM) and Random Forest (RF) classifiers are used for sentiment classification of the dataset. Bag of Words (BoW), Term-Frequency vs. Inverse Document Frequency (TF-IDF), and Sentiwordnet feature matrices are used to vectorize the input dataset. Lexicon based approach got an accuracy of 84.8%. In machine learning algorithms, the SVM (kernel = linear), SVM (kernel = RBF) and RF with the Sentiwordnet feature vector got an accuracy of 92.6%, 92.9%, and 93.4%, respectively. © 2021 IEEE.

关键词： Sentiment analysis

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An ensemble learning approach for the detection of depression and mental illness over twitter data 8

An ensemble learning approach for the detection of depressio...

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8th International Conference on Computing for Sustainable Global Development, INDIACom 2021

作者： Prakash, Ananya Agarwal, Kanika Shekhar, Shashank Mutreja, Tarun Chakraborty, Partha Sarathi SRM Institute of Science and Technology Dept. of Computer Science and Engineering Ghaziabad India

ISBN: (纸本)9789380544434

Depression and mental illness are becoming an indispensable concern, primarily among the youth. According to doctors, about 80 to 90 percent of people with depression eventually respond well to treatment. The close correspondence between social media platforms and their users helps in getting insight into the users' personal life on many levels. This project aims to analyze the tweets for self-assessed depressive features, which can make it possible for individuals, parents, caregivers, and medical professionals to combat this disorder. The project helps to identify the linguistic features of the tweets and the behavioral pattern of the Twitter users who post them, which could demonstrate symptoms of depression. This can be considered as an enhancement in the health care industry providing aid in the early detection and treatment of depression. Our proposed model works by synchronizing different machine learning algorithms to work as an ensemble model for higher efficiency and accuracy. © 2021 Bharati Vidyapeeth, New Delhi. Copy Right in Bulk will be transferred to IEEE by Bharati Vidyapeeth.

关键词： Machine learning

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Optimizing AODV Routing Protocol to Improve Quality of Service Performance for V2V Communication

Optimizing AODV Routing Protocol to Improve Quality of Servi...

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Smart Computing, IoT and Machine Learning (SIML), International Conference on

作者： Ketut Bayu Yogha Bintoro Tri Kuntoro Priyambodo Muhammad Nurul Musthofa Dept.of Computer Science and Electronics Faculty of Mathematics and Computer Sciences Gadjah Mada University Yogyakarta Indonesia Dept. of Informatic Engineering Faculty of Sciences Technology and Design Universitas Trilogi Jakarta Indonesia

ISBN: (数字)9798350364101

ISBN: (纸本)9798350364118

The study focuses on Quality of Service (QoS) issues in learning automata-based AODV (LA-AODV) for V2V communication protocols. It analyzes and compares the LAAODV protocol with the original AODV protocol in dynamic traffic situations. The study evaluates critical metrics such as the number of vehicles, average speed, congestion spots, and vehicle time loss across various traffic scenarios, including smooth traffic, steady flow traffic, and heavy traffic. NS3 and SUMO are used as essential tools for this evaluation. The study finds that the LA-AODV protocol performs better in smooth traffic conditions than AODV. It demonstrates a $38.27 \%$ higher packet delivery ratio (PDR), an $\mathbf{8 5 . 2 6 \%}$ lower packet loss ratio (PLR), and a remarkable $56.62 \%$ increase in average throughput compared to AODV. Both protocols exhibit similar performance in steady flow traffic with high PDRs $(97.60 \%$ and $96.87 \%$, respectively) and low PLRs ($2 \%$ and $3 \%$, respectively). However, AODV outshines LA-AODV with a higher PDR $\mathbf{(} \mathbf{9 7 . 6 0 \% )}$) than LA-AODV $(\mathbf{9 6 . 8 7 \%}$) in heavy traffic. LA-AODV, on the other hand, excels in average throughput by $17.24 \%$ in heavy traffic. The study offers valuable insights for improving V2V communication protocols and enhancing communication efficiency to handle dynamic and traffic situations.

关键词： Protocols Mobility models Urban areas Packet loss Quality of service Machine learning Throughput

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Empirical Study of Standard Elliptic Curve Domain Parameters for IoT Devices 3

Empirical Study of Standard Elliptic Curve Domain Parameters...

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3rd International Conference on Electrical, Communication and computer Engineering, ICECCE 2021

作者： Goyal, Jitendra Ahmed, Mushtaq Gopalani, Dinesh Malaviya National Institute of Technology Dept. of Computer Science and Engineering Jaipur India

ISBN: (纸本)9781665438971

In recent times, security and privacy concerns associated with IoT devices have caught the attention of research community. The problem of securing IoT devices is immensely aggravating due to advancement in technology. These IoT devices are resource-constraint i.e. in terms of power, memory, computation, etc., so they are less capable to secure themselves. So we need a better approach to secure IoT devices within the limited resources. Several studies state that for these lightweight IoT devices Elliptic Curve Cryptography (ECC) suits perfectly. But there are several elliptic curve domain parameter standards, which may be used for different security levels. When any ECC based product is deployed then the selection of a suitable elliptic curve standard according to usability is become very important. So we have to choose one suitable standard domain parameter for the required security level. In this paper, two different elliptic curve standard domain parameters named secp256k1 and secp192k1 proposed by an industry consortium named Standards for Efficient Cryptography Group (SECG) [1] are implemented and then analyzed their performances metrics. The performance of each domain parameter is measured in computation time. © 2021 IEEE.

关键词： Geometry

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Social Distancing Inspection To Mitigate COVID-19 Using K-Nearest Neighbour 6

Social Distancing Inspection To Mitigate COVID-19 Using K-Ne...

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6th IEEE International Conference on Signal Processing, Computing and Control, ISPCC 2021

作者： Mishra, Rutuparnna Ransingh, Anshit Chakravarty, Sujata Dash, Satyabrata Centurion University Of Technology Management Dept. Of Computer Science And Engineering Odisha India

ISBN: (纸本)9781665425520

The beauty of Indian culture is to celebrate happiness as well as sorrows in gatherings of relatives, friends, and well-wishers. But with the advent of the COVID-19 pandemic, the world order has changed and social distancing has become inevitable and needs to be observed strictly to save mankind. Keeping in view the transmission of the COVID-19 virus through contacts and non-availability of medicines and vaccines, social distancing is one of the key solutions that is way out to contain this spread of the virus. As the name states, social distancing suggests that people should physically maintain distance between themselves which will reduce the chance of close contact and automatically leads to a decrease in the spread of infectious diseases like the Corona Virus and many other viruses which spread through close contact. Social distancing is possibly the most effective non-pharmaceutical way to prevent the spread of disease. The main objective of social distancing is if people are not close together, they are incapable of spreading germs. This mitigation measure is used to decrease transmission, by suspending and decreasing the size of the epidemic peak and spreading cases over a lengthier period to relieve the burden on the healthcare organization. In this paper, a model is recommended where the total number of people present in the frame is detected using the YOLO object detection algorithm, and distance between each individual is measured Using K-Nearest Neighbour. If the distance between any two individuals is less than 6 feet or 2 meters then a red bounding box pops around them indicating that they are violating the rule of social distancing. This model is implemented on Raspberry Pi with buzzer system for alert. © 2021 IEEE.

关键词： COVID-19

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Cyber Attacks on Maritime Assets and their Impacts on Health and Safety Aboard: A Holistic View

arXiv

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arXiv 2024年

作者： Ammar, Mohammad Khan, Irfan Ahmad Dept. of Computer Engineering ZHCET AMU UP Aligarh202002 India Marine Engineering Technology Department Electrical & Computer Engineering and Computer Science & Engineering Department Texas A&M University GalvestonTX77573 United States

There has been an unprecedented digitization drive in the industrial sector, especially in the maritime industry. The profusion of intelligent electronic devices and IOT-enabled cyber-physical systems (CPS) has helped in the efficient use of resources and increased convenience. CPS has enabled real-time remote command and control of industrial assets. Unlike the relatively isolated legacy systems, the intertwined nature of Information technology(IT) and Operations technology(OT) brought by Industry 4.0 has increased the complexity of the systems, thereby increasing the attack surface. This work explores the possible consequences of these attacks from a more holistic view, focusing on high-risk assets such as offshore oil rigs, offshore wind farms, and autonomous vessels. The attacks have become more aggressive with the proliferation of such technologies, disrupting the physical process, causing fire and explosion hazards, and endangering human life and environmental health. The possible attack scenarios, the attack vectors, and their physical consequences have been discussed from the perspective of personnel safety and health, along with known security breaches of such nature. To the best of the authors’ knowledge, seldom has any work been done that accentuates the possible human and environmental impacts of such attacks. © 2024, CC BY-SA.

关键词： Cyber Physical System

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Multiview 3D detection system for automotive driving

Multiview 3D detection system for automotive driving

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2021 International Conference on Computing, Communication, Electrical and Biomedical Systems, ICCCEBS 2021

作者： Suresh Kumar, S. Sathish Kumar, T. Saravana Kumar, M. Subramanian, G. Dept. of Computer Science Sri Krishna College of Engineering and Technology Coimbatore India

For the past few years, there has been an increase in road accidents all over the world. The most common crucial reason is drowsiness. The presented work deals with this problem to reduce the number of accidents while keeping the methodologies simple and intact with the usage of computer vision applications like blink rate, eye closure, yawning. Detection of the driver's drowsiness is done by a single-camera attached behind the steering wheel and to identify yawning and for alerting the driver, a buzzer is triggered when the eyes are closed and also when the count of yawning is greater than the specific rate. The system will also work even the driver is wearing glasses and it can be implemented with the comfort of a pocket phone. © Published under licence by IOP Publishing Ltd.

关键词： Physics

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Slotted V Shaped Compact Wideband Antenna with Partial Ground Plane for Microwave Based Head Imaging Applications

Slotted V Shaped Compact Wideband Antenna with Partial Groun...

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International Conference on Electrical Information and Communication technology (EICT)

作者： Sonia Akter Moue Md. Samsuzzaman Md Zulfiker Mahmud Sefat Siddiquea Md Siam Talukder Sarna Majumder Faculty of Computer Science And Engineering Patuakhali Science And Technology University Bangladesh Dept. of Computer Science and Engineering Jagannath University Faculty of Computer Science and Engineering Patuakhali Science and Technology University Dumki Patuakhali Bangladesh

This study presents a detailed description of a Slotted V Shaped Compact Wideband Antenna designed for the purpose of microwave-based head imaging. The antenna under consideration comprises a radiating patch with a Vshaped slot and a partial ground with slots. Slots have been found to significantly improve the efficiency, dispersion of current, gain, and various other aspects of antennas. The antenna under consideration has a maximum gain of 5.85, operates within the frequency range of 4 to 8.06 GHz, and is deemed suitable for head imaging applications. The dimensions of the antenna under consideration are 0.33λ × 0.667λ × 0.21λ, where λ represents the wavelength, at a lower frequency of 4 GHz. Additionally, the antenna is equipped with a 50 ohm microstrip transmission line. The antenna is fabricated on a cost-effective FR4 substrate with a thickness of 1.5 mm. The antenna under consideration achieves a fractional bandwidth of 67.33% within the frequency range of 4 to 8 GHz. In order to optimize antenna performance, a comprehensive parametric analysis is carried out utilizing the widely recognized software tools HFSS and CST. The experimental testing and analysis of the prototype antenna yielded findings that exhibited a satisfactory level of concurrence with the corresponding calculations.

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SOLSR: Secure OLSR with denial contradiction rules to detect and prevent gray hole attack in VANET

SOLSR: Secure OLSR with denial contradiction rules to detect...

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2021 International Conference on Communication, Control and Information Sciences, ICCISc 2021

作者： Indhumathi, R. Arun Raj Kumar, P. National Institute of Technology Calicut Dept. of Computer Science and Engineering Kozhikode India

ISBN: (纸本)9781665412797

A vehicular ad hoc network (VANET) is a group of moving or stationary vehicles connected by a wireless network. The main purpose of VANET is to provide safety and comfort to drivers in vehicular environments. It also consists of many security threats and different types of attacks, especially gray hole attacks. This paper focuses on the detection and prevention of gray hole attacks in VANET. We proposed an algorithm named SOLSR with Denial Contradiction Rules to detect and prevent gray hole attacks. The denial contradiction rules isolate the malicious nodes and SOLSR algorithm detects and removes the malicious nodes that enter the network legitimately. The experiment result shows that the proposed solution detects and prevents the gray hole attack and improves the network's performance. © 2021 IEEE.

关键词： Vehicular ad hoc networks

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A Novel Approach for Prediction of Heart Disease using Machine Learning Algorithms

A Novel Approach for Prediction of Heart Disease using Machi...

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2021 Asian Conference on Innovation in technology, ASIANCON 2021

作者： Kumari, Akanksha Mehta, Ashok Kumar National Institute of Technology Jamshedpur Dept. of Computer Applications Jamshedpur831014 India

ISBN: (纸本)9781728185835

Heart Disease is the leading causes of death and hospitalization in the world. With advancement of technology and the contribution of computer engineering, it is easy to detect heart disease and thus treatment is fast and effectively done. Machine learning nowadays is very popular in predicting disease in the medical field. In this paper, authors have tried to predict heart disease using seven machine learning algorithms and attempted to improve the accuracy of weak performing algorithms using ensemble methods like AdaBoost and voting ensemble method. The performance of Linear Discriminate Analysis is good among other algorithms, it's mean value is approximately 0.847 and mean absolute error is 0.185, the false acceptance rate is lowest among all i.e.;0.33 and the false recognition rate is 0.076, accuracy is somehow coming 80% which is less if compared with Logistic Regression. © 2021 IEEE.

关键词： Adaptive boosting

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