2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)最新文献_第4页

Mobile Application Based Vehicle Diagnostic System 基于移动应用的车辆诊断系统

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441759

S. Prabhu, S. Vishalrajan, M. Sanjeevi, B. Ramanathan, R. R. Thirrunavukkarasu, E. Nandakumar

{"title":"Mobile Application Based Vehicle Diagnostic System","authors":"S. Prabhu, S. Vishalrajan, M. Sanjeevi, B. Ramanathan, R. R. Thirrunavukkarasu, E. Nandakumar","doi":"10.1109/ICACCS51430.2021.9441759","DOIUrl":"https://doi.org/10.1109/ICACCS51430.2021.9441759","url":null,"abstract":"When a particular vehicle’s parameters like lubricant level or Battery level are going to reach the lower threshold level, engine coolant temperature is getting high frequently, brake shoe is going to reach the maximum usage period, it will be detected by a sensor interfaced with microcontroller, it will send a signal to GSM module and cloud server. The first warning will be sent to users through a mobile application and similarly, the first warning will also be sent to the service centre through SMS by using GSM. Based on the SMS received service centre technicians can make themselves ready by checking the availability of the particular part or lubricant in their store, if the particular part is not available, they will get time to place an order for a particular part from the vendor. When a sensor is damaged or lubricant is reached the minimum threshold and need to be refilled immediately or brake shoe cannot be used further and need to be changed immediately, Engine coolant need to be changed immediately, a final warning will be sent to the user and similar final warning will be sent to the service centre through SMS. Service centre technicians can contact the owner of the vehicle and schedule a time to replace or refill the particular sensor or lubricant. This warning data will also be used by vehicle spare part manufacturers to analyse the demand and to manufacture more parts according to the demand.","PeriodicalId":422546,"journal":{"name":"2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133515750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Model to Analyse the Impact of Mobile Phone Utility Over Building Human Relationship 一个分析手机效用对建立人际关系影响的模型

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441807

Binny Upadhaya, K. Bakiyaraj

引用次数: 0

Lung Nodule Segmentation Using UNet 基于UNet的肺结节分割

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441977

S. Niranjan Kumar, P. Bruntha, S. Isaac Daniel, J. A. Kirubakar, R. Elaine Kiruba, Siril Sam, S. Immanuel Alex Pandian

{"title":"Lung Nodule Segmentation Using UNet","authors":"S. Niranjan Kumar, P. Bruntha, S. Isaac Daniel, J. A. Kirubakar, R. Elaine Kiruba, Siril Sam, S. Immanuel Alex Pandian","doi":"10.1109/ICACCS51430.2021.9441977","DOIUrl":"https://doi.org/10.1109/ICACCS51430.2021.9441977","url":null,"abstract":"Cancer is a major public stumbling block in health worldwide. The highest morbidity and mortality among both men and women were found due to lung cancer. Segmentation of the lung nodule plays a vital role in the treatment of lung cancer. This paper aims to segment such lung nodules using the Computed Tomography (CT) images. U-Net is a modified Convolutional Neural Network made for segmentation of biomedical images. We use U-Net for segmenting lung nodules and along with this, we use various optimizers to find the best result. The dataset is collected from LIDC-IDRI and these CT images are further pre-processed to obtain nodule images and the masks. The pre-processed images are trained using U-Net architecture and the performance of the model is calculated. Using Adam optimizer, the accuracy of 0.9871, the Dice Similarity Coefficient (DSC) of about 0.8205 and the Intersection over Union (IOU) of about 0.7539 are obtained from the proposed computer-aided detection (CAD) system for its segmentation performance. The results of this experiment shows U-Net can be used in lung nodule segmentation.","PeriodicalId":422546,"journal":{"name":"2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132091916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Conversations Sentiment and Intent Categorization Using Context RNN for Emotion Recognition 基于上下文RNN的会话、情感和意图分类

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441740

Rifqi Majid, H. Santoso

引用次数: 2

Energy and Economic Analysis of Smart Technologies on Street Lighting System 街道照明系统智能技术的能源与经济分析

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441734

Modabbir, Arshad Mohammad

{"title":"Energy and Economic Analysis of Smart Technologies on Street Lighting System","authors":"Modabbir, Arshad Mohammad","doi":"10.1109/ICACCS51430.2021.9441734","DOIUrl":"https://doi.org/10.1109/ICACCS51430.2021.9441734","url":null,"abstract":"Smart technologies in a street lighting system play a vital role to construct healthy surroundings for business and citizens. Various countries have started implementing smart technologies in their street lights. To install a smart system the primary step is to reduce the energy consumption and running cost. Advance smart operating techniques are required for controlling, managing and communicating of street illuminance to mitigate power consumption. In urban cities, an effective solution for power consumption could be achieved by implementing smart PIR sensors with LED street lights. This integration of street lights will have an impact on energy conservation and running cost. In this paper, a PIR sensor lighting system is proposed in the campus area of Aligarh, where a primary aim was to reduce power consumption and minimize the running cost. The proposed smart methodology was implemented on 36 street lights with integrated smart PIR sensors and adaptive part-night lighting system with typical LEDs has been taken into consideration. The proposed method, traffic-aware smart PIR street lighting system in Aligarh shows the result of less power consumption by 96-97% against conventional lighting system for 6 months. Hence, these smart lighting systems are capable of governing power and cost consumption intelligently.","PeriodicalId":422546,"journal":{"name":"2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124498928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Smart Electricity Meter Monitoring and Prediction using iSocket 基于issocket的智能电表监测与预测

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9442011

Aaroosh Pandoh, Aditya Wasekar, Shubham Sarkar, Anit Basu Thakur

{"title":"Smart Electricity Meter Monitoring and Prediction using iSocket","authors":"Aaroosh Pandoh, Aditya Wasekar, Shubham Sarkar, Anit Basu Thakur","doi":"10.1109/ICACCS51430.2021.9442011","DOIUrl":"https://doi.org/10.1109/ICACCS51430.2021.9442011","url":null,"abstract":"The ever increasing demand for power has driven many natural resources on the verge of depletion. The threat now poses over the renewable sources of power which are not yet developed to the extent of completely working in a self-sufficient manner. In such a case, optimal power sharing and efficient energy consumption is called into practice. The smart meter here, serves the purpose of continuously monitoring energy consumption and informing the user when it exceeds a set limit. In this paper, an application is developed along with a hardware module coined ‘i-Socket’ which is used to track the energy consumed by each device in a house and thus estimates the monthly electricity bill. Now, in this system, the user can set a monthly desired bill and as the energy consumption approaches the set limit, the user is notified through the software application. Also, this system employs an algorithm which sets the monitoring rate of a connected device to the socket based on the type of device and thus, is itself an energy efficient device. The current sensor employed for this purpose is ACS712 sensor and the microcontroller used is Arduino UNO to control the hardware units. A Boost converter is used for the power supply to the sensing devices and controllers. The software application is developed for monitoring electricity bills. System takes input of present data of current, and predicts meter reading for the following months. It gives predictions of items to be used at a specific time frame based on its power consumption.","PeriodicalId":422546,"journal":{"name":"2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124525309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

IOT Based Automated Poultry Farm for Layer Chicken 基于物联网的蛋鸡自动化养殖场

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441939

P. Jayarajan, M. Annamalai, V. A. Jannifer, A. Prakash

引用次数: 3

Efficient Classification for Neural Machines Interpretations based on Mathematical models 基于数学模型的神经机器解释的高效分类

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441718

D. K. Sharma, Bhopendra Singh, R. Regin, R. Steffi, M. Chakravarthi

{"title":"Efficient Classification for Neural Machines Interpretations based on Mathematical models","authors":"D. K. Sharma, Bhopendra Singh, R. Regin, R. Steffi, M. Chakravarthi","doi":"10.1109/ICACCS51430.2021.9441718","DOIUrl":"https://doi.org/10.1109/ICACCS51430.2021.9441718","url":null,"abstract":"Developing successful embedded vision applications necessitates a detailed review of various algorithmic optimization trade-offs and a wide variety of hardware design options. This makes it difficult for developers to navigate the solution space and find design points with the best performance trade-offs. In neural machine translation, large Transformer frameworks have produced state-of-the-art results and have become the industry standard. We will clarify the mathematical mechanisms behind the paper's efficient interpretation for neural machine translations and look for the best combination of known techniques to improve interpretation speed without compromising recognition accuracy in this paper. We perform an empirical study that compares various approaches and shows that using a hybrid of decoder self-attention replacement with simplified recurrent units, a deep encoder and shallow decoder architecture, and multiple head attention reseeding can achieve up to higher accuracy. By replacing heavy functions with lighter ones and enhancing the autoencoder's layers structure, excellent results can be achieved in a harmonious mix of time series, network architecture, and probabilistic solutions.","PeriodicalId":422546,"journal":{"name":"2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114676809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Review on Trustworthy Analysis in binary code 二进制码可信分析综述

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9442052

P. Karthikeyan, S. Anandaraj, R. Vignesh, S. Poornima

引用次数: 0

Comparative Analysis of Low Power Wallace Tree Encoders with Modified Full Adders 低功耗华莱士树编码器与改进全加法器的比较分析

2021 7th International Conference on Advanced Computing and Communication Systems (ICACCS) Pub Date : 2021-03-19 DOI: 10.1109/ICACCS51430.2021.9441810

Yamini Shanmugam, P. B. Gopika Sundari, S. Rithika, V. Sannjeev

引用次数: 0