2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)最新文献_第4页

Efficient Computation of Leaf Disease Classification Techniques using Deep Learning 基于深度学习的叶片病害分类技术的高效计算

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718941

Saifa Azmiri Mohona, Sakifa Aktar, Md. Martuza Ahamad

{"title":"Efficient Computation of Leaf Disease Classification Techniques using Deep Learning","authors":"Saifa Azmiri Mohona, Sakifa Aktar, Md. Martuza Ahamad","doi":"10.1109/ICEEE54059.2021.9718941","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718941","url":null,"abstract":"Being a major agricultural country, a considerable amount of development depends on the agriculture of Bangladesh. As agriculture stays one of the main areas of the Bangladeshi economy, Bangladesh is attempting to become independent in producing food by creating successful developing agronomy. At the same time, plant leaf disease is quite natural and sometimes uncontrollable that causes damage of crops, as well as causing significant damage in the agronomy of Bangladesh. To prevent the problem, this work aims to classify several plant leaf diseases, specifically corn, grape, mango, and pepper, to diagnose the leaf diseases for proper early action to cure. We have also been able to classify by means of disease classification as a multi-class classification of those four plant leaves. Therefore, We have used Convolutional Neural Network (CNN) based Deep Learning models to analyze the results, and we have compared the scores of four CNN models: VGG-16, VGG-19, GoogLeNet, and our proposed model. Finally, our proposed model imparted better computation and achieved 99.91% accuracy. Furthermore, we have found that deep learning could be an appropriate approach to classify ill leaves of the plants from the healthy.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128788490","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

A Time-varying Mutation Operator for Balancing the Exploration and Exploitation Behaviours of Genetic Algorithm 一种用于平衡遗传算法探索和开发行为的时变变异算子

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718786

M. Hasan, M. A. Kashem, Md. Jakirul Islam, Md. Zakir Hossain

{"title":"A Time-varying Mutation Operator for Balancing the Exploration and Exploitation Behaviours of Genetic Algorithm","authors":"M. Hasan, M. A. Kashem, Md. Jakirul Islam, Md. Zakir Hossain","doi":"10.1109/ICEEE54059.2021.9718786","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718786","url":null,"abstract":"Many real-world combinatorial optimization problems (COPs) are NP-hard and challenging to find the optimal solution using classical linear and convex optimization methods. In addition, the computational complexity of these optimization tasks increases exponentially with the increasing number of decision variables. A further difficulty can be also caused by the search space being intrinsically multimodal and non-convex. In such a case, an effective optimization method is required that can cope better with these problem characteristics. Genetic algorithm (GA) is a widely used method for COPs. The original GA and its variants have been used to solve a number of classic discrete optimization problems. Literature shows that the static mutation probability is commonly used for the GA and its variants which cause the imbalance between exploration and exploitation, limiting the performance of GA. To overcome this problem, this research proposes a time-varying mutation operator for GA. In this paper, the balance between exploration and exploitation of the proposed GA has been verified using the benchmark instances of a well-known combinatorial optimization problem i.e., the 0–1 knapsack problem. The numerical results show that the proposed GA can obtain better results with on average a significant number of function evaluations compared to the well-known metaheuristic methods.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215716","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

Synchronous and Asynchronous Implementation of Radix-2 Booth Multiplication Algorithm Radix-2 Booth乘法算法的同步和异步实现

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718783

Nahin Ul Sadad, Afsana Afrin, Md. Nazrul Islam Mondal

引用次数: 1

Length dependent thermal conduction in germanene/stanene heterobilayer by using molecular dynamics simulations 基于分子动力学模拟的锗烯/斯坦烯异质层长度相关热传导

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718787

Shihab Ahammed, Kazi Sazzad Hossen, Ashraful Hossain Howlader

{"title":"Length dependent thermal conduction in germanene/stanene heterobilayer by using molecular dynamics simulations","authors":"Shihab Ahammed, Kazi Sazzad Hossen, Ashraful Hossain Howlader","doi":"10.1109/ICEEE54059.2021.9718787","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718787","url":null,"abstract":"Of late, stanene and germanene having the effect of spin orbital coupling are characterized as a superconductive material at room temperature. These materials have been synthesized and investigated their low thermal conductivity in recent experimental studies. With the purpose of achieving diverse thermal properties, we have modeled and offered germanene/stanene heterobilayer. We have also characterized its in-plane thermal conduction with varying length. For the assessment its thermal properties, we employed a simulation method named reverse non equilibrium molecular dynamics. The nanosheet size in the x direction ranges from 20 to 300 nanometer. The amount of thermal transport of this heterobilayer is predicted to be 19.95 W m−1 K−1 over an unlimited length. In this work, the van der Waals thickness is used to predict this thermal transmission. The length of the nanosheet appears to boost the in-plane heat conduction of the germanene/stanene bilayer. For a better understanding of in-plane thermal conduction, the phonon density of states is determined. The characterization of germanene/stanene nanostructure proposed in this study would give a decent knowledge to make it a promising bilayer for the thermoelectric applications owing to its low thermal conductivity.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121901597","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-Cloud-Based Low-Cost Temperature, Humidity, and Dust Monitoring System to Prevent Food Poisoning 基于物联网云的低成本温度、湿度和粉尘监测系统，防止食物中毒

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718789

S. M. Mahidul Hasan, Md. Rezwanul Ahsan, Md. Dara Abdus Satter

{"title":"IoT-Cloud-Based Low-Cost Temperature, Humidity, and Dust Monitoring System to Prevent Food Poisoning","authors":"S. M. Mahidul Hasan, Md. Rezwanul Ahsan, Md. Dara Abdus Satter","doi":"10.1109/ICEEE54059.2021.9718789","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718789","url":null,"abstract":"The Internet of things (IoT) is an arising innovation, which changed the industrialization system at a higher level. Staying away from significant catastrophes in the food business or unexpected trivial issues of noticing temperature, humidity, and duct can bring about combined misfortune in food commerce. The main focus of this research has been on how a strategic distance can be maintained from those business misfortunes by incorporating IoT. In food shops, hazardous foods should be kept at a certain level of temperature, humidity, and satisfactory dust level to avert poisoning bacteria. To accomplish the task, IoT-based sensors are used within this research to collect variations of temperature, humidity, and dust level of any hazardous food’s climate and provide required activities with a precise choice. The proposed temperature, humidity, and dust monitoring system has been tested at AJWAH Bake and Pastry shop. The onsite experimental data shows that the system prototype is very effective in observing the food environment and can be utilized at food shops.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124415206","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: 2

ResidualCovid-Net: An Interpretable Deep Network to Screen COVID-19 Utilizing Chest CT Images ResidualCovid-Net:利用胸部CT图像筛选COVID-19的可解释深度网络

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718776

Md. Farukuzzaman Faruk

引用次数: 1

Comparative Study on EEG Based Motor Movement Classification Using Different Sets of Electrode Channels 基于脑电的不同电极通道组运动分类的比较研究

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9719000

Md Abdur Raiyan, S. C. Mohonta

{"title":"Comparative Study on EEG Based Motor Movement Classification Using Different Sets of Electrode Channels","authors":"Md Abdur Raiyan, S. C. Mohonta","doi":"10.1109/ICEEE54059.2021.9719000","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9719000","url":null,"abstract":"In Brain Computer Interface (BCI), for precise prediction of brain activity, it is important to know which part of the brain is responsible for which activity. Electroencephalography (EEG) signal which conveys the information of such brain activity is recorded using a number of electrodes from all over the skull. In this study, a comparison from a machine learning perspective has been made to investigate which sets of electrodes that mean which part of the brain shows more neural activity during execution or imagination of fist movement. Here, all the preprocessing steps have been done using EEGLAB on MATLAB, and the normalized band powers of five brain rhythms such as alpha, beta, gamma, delta and theta have been used as features. Finally, a supervised machine learning technique – Support Vector Machine (SVM) has been implemented which took those features as input for classification. This study shows that the channel set with more electrodes can distinguish between executed and imaginary fist movement more accurately. Therefore, these findings can be used to understand brain functionality more distinctly and be applied to predict motor movement more precisely in future BCI research.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134343065","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

An Alternate Solution for Smartphone-Based Urinalysis 基于智能手机的尿液分析的替代解决方案

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718777

Abir Ebna Harun, Mohammad Ashfak Habib

引用次数: 0

Real-Time Recognition of Bangla Sign Language Characters: A Computer Vision Based Approach Using Convolutional Neural Network 基于卷积神经网络的孟加拉语手语字符实时识别方法

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718800

Mahib Tanvir, M. Alam, Dipanwita Saha, Shahid A. Hasib, S. Islam

{"title":"Real-Time Recognition of Bangla Sign Language Characters: A Computer Vision Based Approach Using Convolutional Neural Network","authors":"Mahib Tanvir, M. Alam, Dipanwita Saha, Shahid A. Hasib, S. Islam","doi":"10.1109/ICEEE54059.2021.9718800","DOIUrl":"https://doi.org/10.1109/ICEEE54059.2021.9718800","url":null,"abstract":"Sign Language is the elementary communication media for Deaf & Mute (D&M) people. On the other hand, it seems too tenacious for the general people to understand this language. In order to tear out this communication barrier, a real-time automated translator is essential. Through this research, a computer vision-based approach has been developed for the recognition of Bangla Sign Language (BdSL) characters. In this work, a deep learning-based recognition model has been developed. Adaptive thresholding has been integrated with 2D Convolutional Neural Network (CNN) to construct this model. Proposed model has been trained to build this real-time automated translator through our own created dataset (dataset containing 3600 different images for 36 distinct characters). The proposed model has been trained and tested with 2880 (80%) training images and 720 (20%) testing images respectively. Thirty-six unique characters of Bangla Sign Language can be recognized through this model with significant accuracy. The model delivers validation accuracy of 99.72% and validation loss of 0.73%. A significant result has been achieved for the recognition and translation of Bangla Sign Language characters with this dataset over other existing Bangla Sign Language Recognition model.","PeriodicalId":188366,"journal":{"name":"2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130396357","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: 2

Compact Pulse Oximeter Designed for Blood Oxygen Saturation and Heart Rate Monitoring 紧凑型脉搏血氧仪设计用于血氧饱和度和心率监测

2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE) Pub Date : 2021-12-22 DOI: 10.1109/ICEEE54059.2021.9718773

M. A. Motin, Partha Pratim Das, C. Karmakar, M. Palaniswami

引用次数: 3