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RSSI Based Device Monitoring with IEEE 802.15 in Wireless Sensor Network 4

RSSI Based Device Monitoring with IEEE 802.15 in Wireless Se...

引用

4th international conference on Inventive Research in computing Applications, ICIRCA 2022

作者： Biju, Rahul N Akhil, K.M. Sinha, Somnath Amrita School of Arts and Sciences Mysuru Amrita Vishwa Vidyapeetham Department of Computer Science Mysore India

ISBN: (数字)9781665497077

ISBN: (纸本)9781665497077

Monitoring signal strength is a major concern in Wireless sensor networks (WSN). this paper discusses the latest product of Espressif system, ESP32 which is designed for embedded system and real time implementation. Range-based localization approaches use RSSI, or Received Signal Strength Indicator, to estimate the signal power of the receiver node. BLE devices uses low energy Bluetooth propinquity sensing to transmit a specific identifier. Where we can scan the BLE Devices between a particular range. the ESP32 is a very low-cost device that uses low power consumption where we can save energy. the ESP32 comes with a chip series of micro-controllers with Bluetooth capabilities and a dual-core microprocessor. In our proposed work we are working On finding the BLE devices from a particular RSSI data between a range. After each iteration of data collection, we are storing the data into Google sheets. the whole RSSI data is saved for further study or data analysis and a live data feed is displayed. © 2022 IEEE.

关键词： Low power electronics

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Research on small object detection methods based on deep learning 4

Research on small object detection methods based on deep lea...

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4th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2022

作者： Kong, Yandan Liu, Kai Liang, Zhihong Liu, Tiancheng Huang, Yuxiang Qin, Mingming Institute of Big Data and Artificial Intelligence Southwest Forestry University Kunming China Yunnan Provincial Company of China National Tobacco Corporation Kunming China E-Visible Supply Chain Management Co. Kunming China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

the efficiency and accuracy of object detection are steadily improving due to the development and widespread application of deep learning. However, small object detection remains a challenge. When employing mainstream object detection algorithms, small objects have low resolution, little feature information, and weak expressiveness, which leads to missed false detection and poor detection accuracy. this paper systematically describes on small object detection methods based on deep learning, divides them into four categories based on small object detection optimization methods, such as data augmentation, multi-scale feature fusion, contextual features, and optimized backbone networks, and analyzes the benefits and drawbacks of each method, and offers a forecast on future research directions. © 2022 IEEE.

关键词： Object detection

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Design of human-computer interaction gesture operation based on STM32 and MPU6050 4

Design of human-computer interaction gesture operation based...

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4th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2022

作者： Xie, Pengfei Wu, Wenhao Zhang, Yan Nanjing University Jinling College School of Information Science and Engineering Nanjing China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

In order to improve the convenience of computer use, a human-computer interaction mode of gesture operation is proposed. With the main functions of collecting and processing user environment information and obtaining their own state, and with the characteristics of fast, convenient, attached and anytime, anywhere, a wearable gesture operated human-computer interaction device is designed. the system is composed of STM32F103 single chip microcomputer, six axis sensor mpu6050, Bluetooth hid module XM-04-HID-K, etc. the six axis sensor fixed on the back of the hand obtains the hand inclination angle in real time. the CPU determines the instructions to be executed according to the received data and converts the operation into instructions. All instructions are integrated in a specific packet format and sent to the upper computer through the Bluetooth hid module, the test shows that the mouse pointer can be controlled by the movement of the hand. © 2022 IEEE.

关键词： Human computer interaction

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A Review on DDoS attack Detection in SDN using ML 4

A Review on DDoS attack Detection in SDN using ML

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Raj, Ritu Singh Kang, Sandeep Chandigarh University University Institute of Engineering Computer Science & Engineering Mohali India

ISBN: (纸本)9781665474368

the world has completely transformed in terms of technology as a result of virtualization. One application of this virtualization is SDN. In recent years, it has become a popular and widely utilised network architecture. Using SDN, or a software-defined network, the control network is divided from the data plane. Although Software Defined Networks provide a simple and obvious method for network control, they have also created a new security danger. DoS attacks, man-in-themiddle attacks, and other threats are examples of these dangers. the most frequent and common danger on this list is DDoS. By impacting the server, DDoS made it simpler to start the attack. this results in the network as a whole failing. therefore, it is essential to identify this threat in order for a server to operate safely. this research analyses the various machine learning approaches that are employed in the SDN context to identify DDoS attacks. © 2022 IEEE.

关键词： Machine learning

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Insights into today's cyber trends and threats : Meta and Base Classifier Models for Network Traffic Classification 4

Insights into today's cyber trends and threats : Meta and Ba...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Kumar, Rajeev Verma, Kavita Chandigarh University Department of Computer Science Gharuan Mohali India

ISBN: (纸本)9781665474368

the interconnectivity between the computers that provide a single network with lots of advantages is termed as the network. A network is a scenario that allow to collect and connect a number of computers for exchanging the information and offering facilities to other resources. To detect malicious activities from the network various classification techniques are designed. the existing technique is SVM which is applied to classify data into malicious and normal classes. this research work designed a stacking technique in order to classify the network traffic. the base classifier which is used, is known as SVM and meta-classifier is KNN classifier. the proposed model is the hybrid for the network traffic classification. Python is employed to execute the designed technique and the metrics namely accuracy, precision and recall are considered to analyze the designed technique. © 2022 IEEE.

关键词： Support vector machines

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Reliability Analysis and Fault Prediction of A/D Converter Based on Acceleration Model 4

Reliability Analysis and Fault Prediction of A/D Converter B...

引用

4th international conference on Frontiers Technology of Information and Computer, ICFTIC 2022

作者： Wang, Guang Liu, Shuo Hu, Mingliang Zhang, Lu Avic Computing Research Institute Ministry of Science and Technology Xi'an China Avic Computing Research Institute Research Department of Utility Management Systems Xi'an China The 771 Institute of the Ninth Research Institute of Aerospace Science and Technology Corporation Xi'an China

ISBN: (纸本)9798350321951

the A/D converter with high-precision and reliable is the key core device to realize the acquisition of aircraft analog signal. By controlling the fusing state of the repair and adjustment fuse, the connection relationship between the benchmark debugging element, clock debugging element and ADC nuclear repair and adjustment capacitor can be accurately controlled. In the process of fracture of fuse wires at high temperature, if the spacing is too small and the stress is released, individual poly-crystalline fragments are able to contact each other, resulting in abnormal decline of fuse impedance, which will lead to error of data collection. Aiming at the early elimination of fuse fragmentation impedance anomalies, a defect elimination method based on Arrhenius temperature stress acceleration model is proposed. According to the Weibull failure probability distribution model, the number of fault components in the fault batch is predicted and confirmed by FIB test process, which improved the reliability of A/D converter. © 2022 IEEE.

关键词： Repair

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Implementation Of Fake Review Detection Using Passive Aggressive Classifier 4

Implementation Of Fake Review Detection Using Passive Aggres...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Kumar, Amresh Kumar, Manish Anandhan, K. Singh, Ajay Shanker Galgotias University School of Computing Science and Engineering Uttar Pradesh Greater Noida India

ISBN: (纸本)9781665474368

In the recent year we have been experiencing a huge surge on internet, due to many people have started using internet. Nowadays there are many paid and fake reviews flooding the e-commerce websites like Amazon, Flipkart and many other e-commerce websites. In which many customers make decisions based on these fake reviews or comments provided by others who had similar experiences. In today's competitive environment, anyone may write anything, which has resulted in an increase in the number of bogus reviews. So, to overcome this problem of fake reviews we will propose a machine learning model. the model will be trained with 40000 datasets to predict the fake reviews. Machine learning is the one of the trending techniques to predicts the output based on the experience. Furthermore, we can test the model using testing data which is also a part of the data set. We are using Passive Aggressive Classifier and we have achieved an accuracy of 83.53%. © 2022 IEEE.

关键词： Machine learning

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Sentiment Analysis on Amazon Product Review 4

Sentiment Analysis on Amazon Product Review

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Kamalesh, B. Vijayalakshmi, S. Data Science Pune India

ISBN: (纸本)9781665474368

Users throughout the world may now access massive amounts of data thanks to the internet and social media platforms. [5] In every facet of human existence, electronic commerce (e-commerce) plays a crucial role. E-commerce is a marketing approach that enables businesses and consumers to buy and sell things via the internet. When buyers look for product information and compare alternatives online, they generally have access to dozens or hundreds of product reviews from alternative shoppers. Machine learning is the most appropriate approach to training a neural network in today's age of practical artificial intelligence. So implementing a model to polarize those reviews and learn from them would make passing hundreds of comments a lot easier. [24] the interpretation will be a very basic product with positive, neutral, and negative polarization. the product is checked. this study suggests a sentiment evaluation model for shopper reviews based on the object and emotive word mining for emotional level analysis using machine learning approaches. © 2022 IEEE.

关键词： Sentiment analysis

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Optical Character Recognition system with Projection Profile based segmentation and Deep Learning Techniques 4

Optical Character Recognition system with Projection Profile...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Arockia Rexi, F. Jacob, Lija Christ University Department of Data Science Lavasa Pune India

ISBN: (纸本)9781665474368

Optical character recognition is the solution to convert text from printed or scanned documents into editable data. this project is aimed at building a Optical character recognition system that recognizes digital text. A document is first detected using contour-based detection technique without altering the angle of the image and is segmented into lines, once the lines are segmented the words embedded in them are extracted. this segmentation is done using projection profiling method. Characters are then segmented words with vertical projection profiling from the extracted words. these characters are fed into an image recognition model for recognition. the recognition model is CNN based deep learning model. Modified VGG16 architecture is used here to extract maximum features from the images and then classify them. To train the model a dataset is created from a repository of digital character dataset. the dataset consists of images of 153 font variants. © 2022 IEEE.

关键词： Optical character recognition

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A Steadfast Approach to perform Face Detection using Feed Forward Neural Networks 4

A Steadfast Approach to perform Face Detection using Feed Fo...

引用

4th international conference on Advances in computing, Communication Control and Networking, ICAC3N 2022

作者： Gupta, Gaurav Sushant Suresh Kumar, N. Anandhan, K. Galgotias University School of Computing Science and Engineering Greater Noida India

ISBN: (纸本)9781665474368

Now Presently every day with the monstrous expansion in video and picture data sets there's a superb requirement for programmed comprehension and assessment of data by canny frameworks as physically it's becoming far off. Step by step face recognition is turning into a test on account of its expanding use in a few applications. the essential advance for face acknowledgment, face investigation, and location of different elements of the face. Detection of dark-coloured faces and poorly illuminated faces don't seem to be well studied within the literature thanks to several challenges. the foremost critical challenge is that there's inadequate contrast among facial expressions. the face detection algorithms are supported by either grey-level template matching or the computation of geometric relationships among face expressions. the technology nowadays isn't capable enough to acknowledge the face with or without beards or some general changes to the identical. this research illustrates a strong algorithm for pre-processing the face image with and without the beard. this research is implemented on a secured application where the robustness of the face recognition algorithms is enhanced. © 2022 IEEE.

关键词： Face recognition

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