2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)最新文献

{"title":"Energy Distributions of Fragments Produced by Simultaneous Ternary Fission","authors":"M. Ashaduzzaman, D. M. Saaduzzaman, T. Akhter","doi":"10.1109/STI50764.2020.9350517","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350517","url":null,"abstract":"The distributions of ternary fission fragment’s energies have been presented for ³²S + ²³⁸U reaction at 220 MeV projectile energy, by developing a programming code based on simultaneous decay kinematics. Here, the energy distributions are shown for three different cases of angular arrangements of the fragments. The first case is for random distribution of angles and it is found that for fragment mass numbers 89, 82, and 77; the system releases the maximum amount of energy (247 MeV). On the other hand, among all three fragments, the third fragment (the lightest one), carries more than 200 MeV energy, and heaviest fragment carries the lowest amount of energy which is less than 40 MeV for most of the cases. The second case is the one where the angles of first (heaviest) and second (medium heavy) fragments are kept equal in both sides of beam direction and for this case, three fragment’s combinations (¹³²Sn + ⁷⁸Ni + ⁶⁰Zn, ¹⁴⁴Nd + ⁷⁸Ni + ⁴⁰Ca, and ¹³²Sn + ⁹⁸Sr + ⁴⁰Ca) has been considered by considering shell closure nuclei to see the energy distribution patterns. In the last case, where first and second fragments have been kept fixed at 50 degrees in both sides of the beam direction, it is found that third fragment decays toward the backward direction for all combinations carrying the maximum amount of energy among three fragments. Eventually, the total fragment’s energy for ¹³²Sn +⁷⁸Ni + ⁶⁰Zn, ¹⁴⁴Nd + ⁷⁸Ni + ⁴⁰Ca, and ¹³²Sn + ⁹⁸Sr + ⁴⁰Ca combinations are found to be 406 MeV, 403 MeV, and 419 MeV respectively. To recapitulate, it has been found that lighter fragments get the maximum amount of energies for all three cases and this method of calculating energies can be applied for any nuclear system that decays simultaneously into three fragments. Therefore, the result of this work is an important guide for experimental work on the evidence of ternary events by comparing energy distributions.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116738551","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":"Professional Information Visualization Using Augmented Reality; AR Visiting Card","authors":"Mohammad Fahim Hossain, Niloy Biswas, Sudipta Barman, A. K. M. Bahalul Haque","doi":"10.1109/STI50764.2020.9350321","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350321","url":null,"abstract":"Augmented reality gives new dimensions in application and services. The same goes for the business field. Since augmented reality can change the perspective and perception about objects, attributes and services; it can be a nice addition in business sector. This proposed augmented reality-based project is an approach to enhance the acceptability and presentation of traditional and classic visiting card. Sharing professional information of a person, including his/her company, plays a vital role in business. Virtual visiting card opens new ways to communicate and share commercial information with others.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117023238","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":"Wideband mid-infrared supercontinuum generation in chloroform filled suspended core fiber","authors":"A. S. M. Tanvir Ul Islam, R. Ahmad, Ismail Hossen, Md. Rowful Kabir, Md. Siyam Bishwas, Omar Faruqe","doi":"10.1109/STI50764.2020.9350483","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350483","url":null,"abstract":"In this paper we have used special feature of fiber design based on liquid-filled suspended core fiber (SCF) to observe the supercontinuum (SC) generation. Background material of this fiber is AsSe2 and three air holes are filled with chloroform (CHCl3). In liquid-filled conditions, we obtain zero dispersion wavelength at 2553 nm and the pumping wavelength is chosen at 2560 nm. From simulation results, it is demonstrated that Supercontinuum spectra from 1 μm to 14 μm could be generated by applying peak power of 10 kW and 50 fs pulse duration at 2560 nm. Moreover, a comparison between liquid-filled SCF and standard SCF in the broadening of SC spectra is analyzed and discussed.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"264 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134516825","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":"Wideband slotted patch antenna for Microwave Based Head Imaging Applications","authors":"Md Mahedi Hasan, M. Samsuzzaman, Md Siam Talukder, M. Tarikul Islam, R. Azim, Md. Abdul Masud","doi":"10.1109/STI50764.2020.9350397","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350397","url":null,"abstract":"During this advanced period, innovations are moving forward to making devices more compact and convenient in volume. Therefore, the invention of electromagnetic microwave head imaging systems to diagnose any head disorders is a substitute for the huge and massive imaging devices, for example, PET, X-ray, CAT check, MRI, ultrasound, and so on. In comparison, the MRI diagnostic system is very expensive. In this paper, an omnidirectional wideband patch slotted antenna has been represented for Imaging the head with the microwave. An omnidirectional wideband slotted patch antenna that is appropriate for the microwave head imaging purpose. Here, the mentioned antenna is shaped by a partial ground and a slotted patch with FR-4 substrate. The slotted patch, or even the partial ground-plane, improves the proposed antenna’s efficiency, frequency range, and gain. The total size of the antenna is 56mm×37mm, and it covers a frequency of 1.45 GHz to 2.52GHz with a resonating frequency of 1.58 GHz. The antenna offers a limit of around 2.4 dBi gain with a balanced average of 2.32dBi. The Computer simulation software CST has been utilized for analyzing the properties of the proposed antenna.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131854122","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":"A Real-Time Smart Wastewater Monitoring System Using IoT: Perspective of Bangladesh","authors":"Muhammed Sakib Hasan, S. Khandaker, M. Iqbal, Md. Monirul Kabir","doi":"10.1109/STI50764.2020.9350459","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350459","url":null,"abstract":"This paper proposes a newly developed model for real-time Smart Wastewater Monitoring System (SWMS) in Bangladesh using Internet of Things (IoT). Various industries have individual production schemes and using different types of chemicals and raw materials. Besides this, the untreated effluent from the industries rapidly pollutes directly and indirectly the water security. In order to overcome the above problems, the proposed SWMS has newly been developed in Bangladesh that is formulated by microcontroller connected with five smart sensors, such as, Temperature, pH, Turbidity, Total Dissolved Solid (TDS) and Dissolved Oxygen (DO). Moreover, the proposed model uses a GSM-GPRS module to transfer data to a web server. With a view to evolving this project, a website has been developed with domain http://swwmbd.com/ for a continuous online data monitoring. For security purposes, the web page contains the authorize ID and password. Furthermore, the data have been arranged in a table format and the upper and lower limit of the parameters has been fixed up by filtering. Finally, the proposed model successfully obtained the desired results that are presented on the website and found analytical.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131028679","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":"MmWave Propagation Characteristics Analysis for UMa and UMi Wireless Communications","authors":"Mobasshir Mahbub, M. Saym, Md. Abdur Rouf","doi":"10.1109/STI50764.2020.9350499","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350499","url":null,"abstract":"This paper addresses millimeter-wave propagation estimation for urban macro-cellular and urban micro-cellular scenarios at 28 GHz, 38 GHz, 58 GHz, and 73 GHz, and observes the corresponding propagation characteristics indicating the path loss for UMa and UMi scenarios using 3GPP proposed path loss models, in both line-of-sight and non-line-of-sight environments, for the efficient deployment of 5G cellular communication networks. The purpose of this work is to characterize the mmWave spectrum depending on the distance for the urban environment to determine the optimal mmWave frequency band according to the transmitter-receiver separation distance to ensure the necessary connectivity and data rate.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130745608","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":"Stationary Wavelet Based Energy Feature Extraction for Detection and Classification of Mammographic Microcalcifications","authors":"Badhan Mazumder, S. Islam, Md. Moshiur Rahman, M. Nurullah","doi":"10.1109/STI50764.2020.9350417","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350417","url":null,"abstract":"Since radiologists widely use mammographic microcalcifications as initial tool for breast cancer screening, accurate detection of microcalcifications is an inevitable stage to develop an effective diagnosis system. This paper proposes a Stationary Wavelet Transform (SWT) based novel technique for detection and classification of breast microcalcifications. To detect the suspected microcalcifications from mammograms, SWT was applied at multiple levels for decomposition purpose and Stationary Wavelet Energy (SWE) was then implemented for feature extraction from each obtained detailed SWT coefficient sub-bands. Four different Ensemble classifiers were employed for classification of microcalcifications as benign or malignant using these SWE features, conducting 10 fold cross validation. Mammographic Image Analysis Society (MIAS) mammographic database was used for experimental evaluation and at maximum a sensitivity of 94.12%, a specificity of 92.48%, a precision of 88.89% and an accuracy of 92.11% were obtained using Subspace Discriminant Ensemble classifier. Beside outcomes of comparative analysis prove the supremacy of our proposed approach over two state-of-the-art approaches.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115043469","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 Ensemble Hard Voting Model for Cardiovascular Disease Prediction","authors":"Al-Zadid Sultan Bin Habib, Tanpia Tasnim","doi":"10.1109/STI50764.2020.9350514","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350514","url":null,"abstract":"With the evolution of trending technologies, health informatics has played a vital role in making our day-to-day lives more comfortable. The availability of enough medical data and computational tools has made medical informatics possible to take a long step towards the next level of Healthcare Industry 4.0. Information engineering or emerging technologies can be applied to identify chronic diseases like heart failure to lessen the mortality rate. Machine Learning (ML) based approaches are gaining popularity for predicting these diseases in the 4th generation healthcare industry. In this paper, several risk factors, e.g., age, sex, total cholesterol level, number of cigarettes smoked per day, glucose level, and systolic blood pressure, have been considered input features for causing heart disease next ten years. The Hard Voting (HV) classifier has been formed with Logistic Regression (LogReg), Random Forest (RF), Multilayer Perceptron (MLP), and Gaussian Naïve Bayes (GNB) classifiers. RobustScaler was applied to scale the input attributes’ values, and the dataset was balanced using Random Undersampling. The HV classifier is the satisfactory performance provider with 88.42% test accuracy along with precision, recall, F1, and Area Under Curve (AUC) scores of 1, 0.043, 0.082, and 0.73 correspondingly. The results have also been compared using some other parameters, e.g., the Receiver Operating Characteristics (ROC) curves, learning curves, precision-recall curve, confusion matrix, Logarithmic Loss (Log Loss), Brier Score Loss (BSL), Mathews Correlation Coefficient (MCC), Mean Absolute Error (MAE), and Mean Squared Error (MSE) to bolster the claim.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116945405","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":"Sentiment Analysis on Adventure Movie Scripts","authors":"Rifat Rahman, Md. Abdul Masud, Raonak Jahan Mimi, Mst. Nusrat Sultana Dina","doi":"10.1109/STI50764.2020.9350525","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350525","url":null,"abstract":"Sentiment analysis is the process of mining subjective information in different kinds of sources for playing an important role in making decisions. Movie scripts are an interesting text-domain including their diverse expressions for sentiment mining. In this paper, we have done sentiment analysis by applying Minimum Viable Product (MVP), Exploratory Data Analysis (EDA), and TextBlob sentiment analysis techniques. We compute the sentiment polarity and show the fluctuation of sentiments over time of a specified movie genre. We collected a dataset consisting of 20 adventure genre’s movie scripts for sentiment analysis on movie scripts. The experimental results show that the fluctuations of the sentiment of the adventure genre’s movie reflect the viewer’s mindset as public opinion for social impact.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123996740","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":"Adopting HCI and Usability for Developing Industry 4.0 Applications: A case study","authors":"Kazi Md. Munim, Iyolita Islam, Md. Mahbubar Rahman, Muhammad Nazrul Islam","doi":"10.1109/STI50764.2020.9350446","DOIUrl":"https://doi.org/10.1109/STI50764.2020.9350446","url":null,"abstract":"Nowadays, the fourth industrial revolution (Industry 4.0) is setting new goals for production and impacting on industrial values. Although integrating Industry 4.0 will automate the production process and reduce the involvement of manpower in industries but the inclusion of effective Human-Computer Interaction (HCI) is required to ensure the efficiency, effectiveness, and user satisfaction towards a system developed for adopting the Industry 4.0 paradigm in an industry. Therefore, the objective of this research is to assess the significance of considering HCI and usability issues at the early stage of developing any software system from Industry 4.0 perspective. To attain this objective, a prototypical application was developed to automate the lime production, control, and monitoring system from the Industry 4.0 perspective. Later, the system was evaluated by 9 participants (evaluators) using the Cognitive Walkthrough approach, and the prototype was refined based on its outcomes. The refined system was again evaluated by 11 participants following the Cognitive Walkthrough and showed that the usability improved due to considering the usability evaluation at the early stage of the development process of the application.","PeriodicalId":242439,"journal":{"name":"2020 2nd International Conference on Sustainable Technologies for Industry 4.0 (STI)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129121014","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}