Kazi Sultana Farhana Azam, Farhin Farhad Riya, S. Al Mamun, Md.Shamim Kaiser
{"title":"A Novel Approach of Detecting Image Forgery Using GLCM and KNN","authors":"Kazi Sultana Farhana Azam, Farhin Farhad Riya, S. Al Mamun, Md.Shamim Kaiser","doi":"10.1109/ICICT4SD50815.2021.9397057","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397057","url":null,"abstract":"Photos have been utilized to report day-time occasions. They have frequently served as proof in audience chamber, in spite of the fact that picture takers are adequate to form composites of analogy images. This preparation is exceptionally pace expending and desires master information. Nowadays, in any case, effective computerized picture altering program makes picture adjustments direct. This undercuts our beliefs in photos and in specific investigation of images as prove for real universal vents. There are two sorts of methods for picture forensics: one is dynamic security, and the other is detached discovery. The most sorts of Picture imitation procedures are Picture Spicing; Copy-Move fraud is utilized mainly to examine the tempered photos. As the imitation of pictures proliferates day-by-day, it is indispensable to develop apparatuses for distingue between genuine and tempered images; therefore, we plan to analyze the copy-move imitation. This paper has proposed a combined method of feature collection using GLCM and training with KNN. Our method has given an 85.42% of accuracy level compared with other states of art papers in image forgery detection.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129522025","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}
{"title":"Application of Blockchain for the Security of Decentralized Cloud Computing","authors":"N. Nahar, Farah Hasin, K. A. Taher","doi":"10.1109/ICICT4SD50815.2021.9396921","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396921","url":null,"abstract":"The demand for blockchain and its significant application has progressed in various sectors and practice areas. A blockchain is a digital technology act as a database that is shared across a network of computers. Although the blockchain is still in the initial stage of testing, in this platform the blockchain is considered as a progressive solution such as decentralization, identity, belief, character, ownership of data, and information about choices. The demand for cloud computing networks is also progressing higher in modern technology. This paper reviewed the application of blockchain technology where data kept in securing decentralized cloud storage which guarantees data of the security and credibility of the system. In a decentralized cloud, storage data are encrypted with a cryptographic algorithm technique with a private key from a user. The benefits and performance of the recent technique and system of cryptography motivated especially in decentralized cloud storage. Decentralized cloud storage using blockchain data makes it more secure and avoids many attacking challenges and single point of failure.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126312961","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}
Farah Hasin, Tahmina Haque Munia, Nazmun Nahar Zumu, K. A. Taher
{"title":"ADS-B Based Air Traffic Management System Using Ethereum Blockchain Technology","authors":"Farah Hasin, Tahmina Haque Munia, Nazmun Nahar Zumu, K. A. Taher","doi":"10.1109/ICICT4SD50815.2021.9396828","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396828","url":null,"abstract":"This study represents a performance model of Automatic Dependent Surveillance-Broadcast (ADS-B) based ATM system using the security features of Ethereum blockchain technology. ADS-B based modernization of ATM is taking place in different parts of the world. ADS-B and other components of upcoming ATM exchange information through an unencrypted data link. More reliability of ATM on data link services caused fear of cyber threat to many aviation specialist and entities. To overcome the security-related concern of ADS-B based ATM, blockchain can be a promising technology. This paper systematically reviews the key concepts and process of Ethereum and Hyperledger blockchain technology and proposed a model using Ethereum blockchain in ATM comparing different key features of blockchain technology which ensures privacy, authenticity and confidentiality to overcome the cyber threat of ADS-B based ATM system. It is found that the proposed Ethereum based blockchain technique provides the opportunity of establishing secured ADS-B based ATM.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122976874","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}
{"title":"Opinion Mining: Is Feature Engineering Still Relevant?","authors":"Md. Ataur Rahman, Puja Chakraborty","doi":"10.1109/ICICT4SD50815.2021.9396874","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396874","url":null,"abstract":"This paper manifests the experimentation with sentiment polarity detection over Stanford's IMDB movie review dataset using a Support Vector Machine classifier (SVM). Our prime motivation was to find out the best possible combinations of classic features and preprocessing techniques for the classification of positive and negative opinions. We also explored two variants of kernels with numerous parameter settings for the classifier in the hope of getting the best SVM model. Our best model achieved an accuracy score of 85.45%. The results indicate that a model with a non-linear Radial Basis Function (RBF) kernel leads to the highest accuracy. The features that contributed the most are stemmed word n-grams.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"7 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123414506","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}
Surraiya Islam Tonni, Tajin Ahmed Aka, Mahathir Mahmud Antik, K. A. Taher, M. Mahmud, M. S. Kaiser
{"title":"Artificial Intelligence based Driver Vigilance System for Accident Prevention","authors":"Surraiya Islam Tonni, Tajin Ahmed Aka, Mahathir Mahmud Antik, K. A. Taher, M. Mahmud, M. S. Kaiser","doi":"10.1109/ICICT4SD50815.2021.9396916","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396916","url":null,"abstract":"Accident prevention is the key facet of road safety. As the number of road accidents in Bangladesh is rising exponentially, precautionary steps are required to prevent this from happening. Many researchers are working on accident prediction models that are commonly used in road safety research. Artificial intelligence (AI) is particularly important in many real-world applications where data are not consistent and are affected by random changes. In this work, we propose an AI-based driver vigilance system for assisting drivers with accident prevention. The system detects drowsiness of the driver from dash camera using the Convolutional Neural Network algorithm; detects anomalies in the heartbeat using two-layer long short term memory algorithm and detects over-speed using GPS and front camera. The suggested model uses a Neuro-Fuzzy controller to integrate these inputs and generates alerts and controls brakes if necessary using drowsiness, heartbeat and speed variables.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124557336","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}
{"title":"Improved Image Reconstruction Using Multi frequency Data for Diffuse Optical Tomography","authors":"Nafhatul Zinan Shifa, Ma Sayem, M. A. Islam","doi":"10.1109/ICICT4SD50815.2021.9396993","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396993","url":null,"abstract":"Our goal is to investigate the possible merits of utilizing multi frequency boundary data to obtain better images through Diffuse Optical Tomography or DOT. The driving force behind this pursuit is finding a lternatives t o conventional measurement procedures that yield information rich data but are expensive and time consuming. This method of imaging could also help in addressing the ill posedness inherent in image reconstruction. Keeping these goals in mind, boundary data for 5 different modulation frequencies have been generated, cascaded together and used to reconstruct images. Subsequent evaluation of the reconstructed images have been carried out. The results we obtained have led us to the conclusion that utilizing multi frequency data would indeed provide an economically feasible solution for enhancing the quality of the reconstructed images.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126621744","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}
{"title":"Tomato Plant Diseases Classification Using Deep Learning Based Classifier From Leaves Images","authors":"Sultana Umme Habiba, Md. Khairul Islam","doi":"10.1109/ICICT4SD50815.2021.9396883","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396883","url":null,"abstract":"In most agricultural countries, farmers face a great loss every year due to diseases in crops. So, early detection of tomato plant diseases has achieved a great concern of the researchers. In this paper a deep convolutional neural network model is used to recognize unhealthy plants from the healthy plants and to classify the tomato plant diseases. We have used VGG16 deep cnn classifier to recognize unhealthy plants and their diseases from the images of tomato plants. We have used Plant Village dataset which contains ten different classes of tomato leaf images including healthy plants. Using transfer learning method in a pre-trained VGG16 model, this dataset shows a satisfying classification performance which about 95.5%. Top 2 accuracy of this model reaches to 99% to recognize tomato plant diseases. Without using any segmentation or preprocessing of leaves images our trained model shows a performance of approximately 100% to differentiate unhealthy plants from healthy plants.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114186248","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}
{"title":"An L-slot Compact Antenna for Medical, Wearable Device and IoT Applications","authors":"Tanghid B. Rashid, M. N. Hasan, P. Mazumdar","doi":"10.1109/ICICT4SD50815.2021.9396832","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9396832","url":null,"abstract":"A compact size of $25.83 times 21.7 text{mm}^{2}$ L-slot-based compact microstrip patch antenna has been proposed for a wearable device, medical and Internet of Things (IoT) applications. A top patch with one L-form slot, two strip shape slots, and three edge cuts consists of the proposed antenna. The designed antenna radiates at 2.4, 3.9, and 5.7 GHz, covering the 2.4/5.7 GHz ISM (Industrial Scientific Medical) band, WLAN (Wireless Local Area Network) band. The proposed antenna return loss is less than −10 dB across all radiating frequencies, and results show overall good efficiency and gain over the operating band. An extensive Specific Absorption Rate (SAR) simulation has been carried out by using the human head 3D model to evaluate SAR (W/kg) level. The results are promising, below the United States and European Union maximum SAR (W/kg) rating and safe to use for medical and wearable applications. The proposed multi- band wearable antenna has been fabricated using the LPKF protomat machine and tested by a Vector Network Analyzer (VNA). The antenna measurement results showed good agreement with the simulation results and are ready for practical implementation.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"35 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121012695","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}
Foez Ahmed, Robi Paul, M. Ahmad, Arif Ahammad, Showmik Singha
{"title":"Design and Development of a Smart Wheelchair for the Disabled People","authors":"Foez Ahmed, Robi Paul, M. Ahmad, Arif Ahammad, Showmik Singha","doi":"10.1109/ICICT4SD50815.2021.9397034","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397034","url":null,"abstract":"About 15% of the world population is currently suffering from one or some form of disability. Among the various cases of disability, incompetence of mobility is the most common drawback, which significantly affects the ordinary life of the patient. The traditional approach is to bind the patient to a conventional wheelchair. However, it fails to provide the user with a taste of freedom as the user will require continuous assistance from others. Although the user can manually propel the system, it will take quite some physical effort. A smart wheelchair with different driving modes can significantly reduce effort. In this research, we designed a smart-wheelchair contains two types of drive system like the thumb and gesture control system. The design of the User Interface (UI) is such that, the user to easily navigate across the menu and choose the preferred control system. A heart rate sensor is incorporated to compute the medical conditions of the patient. In case of any emergency, the build-in response system will be activated and provide a notification to the concerned person.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125779654","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}
{"title":"Development of a Smartphone-based Real Time Outdoor Navigational System for Visually Impaired People","authors":"Farhin Faiza Neha, K. Shakib","doi":"10.1109/ICICT4SD50815.2021.9397011","DOIUrl":"https://doi.org/10.1109/ICICT4SD50815.2021.9397011","url":null,"abstract":"In this paper, we have given a practical solution for solving the problem of visually impaired people using a android based mobile platform. An application is created for detecting obstacles, ups & downs in front of the user. It also detects safe zone in pedestrian lane & gives audio feedback. Using techniques of hough transform and segmentation a real time outdoor navigational system is implemented at the least expenses. It detects line in real time video and make use of OpenCV library.","PeriodicalId":239251,"journal":{"name":"2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)","volume":"os-33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125910540","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}