2023 2nd International Conference for Innovation in Technology (INOCON)最新文献

{"title":"Artificial Intelligence Based Hybrid Models for Prediction of Stock Prices","authors":"Harmanjeet Singh, M. Malhotra","doi":"10.1109/INOCON57975.2023.10101297","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101297","url":null,"abstract":"Stock price forecasting has recently become an important practical component of the economic arena. An intriguing task, stock price forecasting is regarded to be related to the volatility and noise of stock market activity. To address these issues and accurately predict stock prices, this paper proposes a hybrid framework based on a learning model such as stacked Long Short Term Memory (LSTM) and Convolutional network. Experiments with several possible outcomes are run to assess the proposed framework using the stock price data set. The model was trained on ADANI stock price from the last roughly fourteen years on stacked LSTM with a Convolutional network and evaluated on an assessment criteria Root Mean Square Error (RMSE). The stacked LSTM model has proven to be a competitive model against the other models in stock price prediction in various scenarios.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123779482","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":"Blockchain Based Inter-Organizational Secure File Sharing System","authors":"Rupsingh Mathwale, Ramarao Ramisetty","doi":"10.1109/INOCON57975.2023.10101350","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101350","url":null,"abstract":"A consortium of organizations collaborates and exchanges information to create synergies in their operations. Centralized systems of file-sharing cannot provide distributed trust and transparency. Blockchain technology can be used to share files securely and transparently.This paper proposes a blockchain-based inter-organizational secure file-sharing system. It can be used by a consortium of organizations to securely exchange files in a distributed fashion. Hyperledger Fabric, an enterprise blockchain framework, is used for blockchain network setup and the development of smart contracts. The Inter Planetary File System (IPFS) is used for storing files in a distributed way. The paper provides the workflow for identity management and file-sharing processes. The proposed system allows a consortium of organizations to share files with confidentiality, integrity, and availability using blockchain.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124030865","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":"Deep Convolutional Neural Network-based Automatic Detection of Brain Tumour","authors":"Indraneel Paul, Adyasha Sahu, P. Das, S. Meher","doi":"10.1109/INOCON57975.2023.10101238","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101238","url":null,"abstract":"Deep convolutional neural networks (DCNNs) have been extensively studied for different types of detection and classification in the field of biomedical image processing. Many of them have produced results that are on par with or even better than those of radiologists and neurologists. But, the challenge to get good results from such DCNNs is the requirement of large dataset. In this paper, a unique single-model based approach for classifying brain tumours on small dataset is presented in this study. A modified DCNN called the RegNetY-3.2G is used, integrated with regularization DropOut and DropBlock to prevent over-fitting. Furthermore, an improved augmentation technique called the RandAugment is used to lessen the problem of small dataset. Lastly, MWNL (Multi-Weighted New Loss) method and end to end CLS (cumulative learning strategy) is used to address the problem of unequal size of sample, complexity in the classification and to lessen the effect of aberrant samples on training.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128296918","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":"Svelte.js: The Most Loved Framework Today","authors":"Saumyamani Bhardwaz, R. Godha","doi":"10.1109/INOCON57975.2023.10101104","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101104","url":null,"abstract":"Svelte.js is a modern JavaScript framework that is quickly gaining popularity among developers. Unlike other frameworks such as React or Angular, Svelte does not use a virtual DOM, which results in a faster and more efficient performance. Svelte’s approach to building web applications is unique and allows developers to write efficient and concise code. One of the main benefits of Svelte is its small size and low overhead. Unlike other frameworks, Svelte does not require additional libraries or dependencies, making it easy to set up and get started with. Furthermore, Svelte’s approach to building web applications eliminates the need for complex build tools and configurations, making it a great choice for developers of all skill levels. Svelte also offers a more intuitive and straightforward way to build web applications. Instead of using a complex set of APIs, Svelte’s syntax is easy to understand and follow, making it a great choice for developers who are new to web development.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130971984","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":"Customer Segmentation Analysis Using LRFM Based Product and Brand Dimensions","authors":"Mirdatul Husnah, R. Vinarti","doi":"10.1109/INOCON57975.2023.10100974","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10100974","url":null,"abstract":"The development of information technology (IT) has encouraged transaction activities in companies so they can grow rapidly and be competitive. One of them is the utilization of customer behavior, which is widely used in helping companies make important marketing decisions and be competitive. One of them is the utilization of customer behavior, which is widely used in helping companies make important marketing decisions. However, the company considers that customer behavior is only limited to data recording, while transaction data can also be further analyzed by the company to gain knowledge about its customers. To overcome these problems, customer segmentation can be carried out to assist companies in adjusting marketing strategies and describing the relationship between products and customers. Customer segmentation is carried out using the LRFM/product and LRFM/product methods with the fuzzy C-Means algorithm. The results of the study show that customers who are in cluster 1 have good loyalty to the brand and product. This is characterized by a long duration, low recency, high frequency, and a large monetary value for the product or brand. And cluster 2 is a customer cluster with minimal loyalty or that does not yet have loyalty to the product and brand.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130838681","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":"Analytical Approach for Soil and Land Classification Using Image Processing with Deep Learning","authors":"Yerrolla Aparna, G. Somasekhar, Nuthanakanti Bhaskar, K. Raju, G. Divya, K. Madhavi","doi":"10.1109/INOCON57975.2023.10101169","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101169","url":null,"abstract":"Agriculture highly depends on soil. Soils are available in a number of types. Each type of soil has unique characteristics, and various crops grow in each type of soil. For a number of reasons, researchers have recently developed an interest in land mappings and classifications. Soil health and analysis of soil health, that are important for the healthy crop productions, are receiving more attention from the research community as a result of the rising demanding for the agricultural fields. The soil classification is the process of categorizing soil sets into groups with comparable qualities and behaviors. Soil is a mineral storehouse. Farmers depends on the soil to grow various crops; however, most farmers are aware of which crops grow in particular soil. The classification of soil and land is essential. Soil type identification is necessary to avoid quantitative losses in agricultural productivity. Therefore, an analytical approach for soil and land classification using image processing and deep learning is presented in this methodology. The process of applying different operations to an image in order to either improve it or extract useful information from it is described as image processing. Using a deep learning algorithm based a convolutional neural network, this method categorizes images of soil and land.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128256571","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":"Advancing Crypto Ransomware with Multi Level Extortion: A Peril to Critical Infrastructure","authors":"C. Anand, Ravi Shanker","doi":"10.1109/INOCON57975.2023.10100971","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10100971","url":null,"abstract":"The world we are living in now has almost taken entirely into the digital world. Ransomware being a major threat to the security of digital information has now started to shake the economy of nations along with the disruption of essential needs. In the past few decades, there is a tremendous spike in the usage of ransomware for infecting critical infrastructures like hospitals and nuclear power plants causing the services to be encrypted and locked out. Ransom demands are made in huge amounts to obtain the decryption key and to restore the services. Since the discovery of the first ransomware in 1989, the financial loss it has created till now has been tremendous and continues to grow at an exponential rate. Alarmingly, ransomware has changed its pace from a malicious program to a perfect weapon to carry out cyber warfare across the world. Therefore, understanding the latest ransomware trends and securing the data from a ransomware attack is crucial in the current world. This paper aims to highlight the recent advances in ransomware, and its impact on critical infrastructure and focuses on a novel approach to categorize ransomware based on the level of extortion.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"200 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129044181","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":"Using Sysbench, Analyze the Performance of Various Guest Virtual Machines on A Virtual Box Hypervisor","authors":"Anchal Pokharana, Rishit Gupta","doi":"10.1109/INOCON57975.2023.10101143","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101143","url":null,"abstract":"Virtual Machines are classified as computers program also called image, which acts as a whole computer. It is real time emulation of an OS which work on a host machine and has access to some portion of its resources but acts as a whole computer. In this analysis of VMs same host is used for all the testing. To test various machines three OS are used Ubuntu 21.04, LinuxMint and ZorinOS. These are all UNIX-Based Linux systems based on the same Distro: Debian. Analysis of the virtual machines has been done under the identical circumstances using benchmarking tool. In this paper various benchmarking operations have been performed using Sysbench Benchmarking Tool to compare their results. All these OS have been installed on Virtual Box Hypervisor.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127297763","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":"Implementation of Braun and Baugh-Wooley Multipliers Using QCA","authors":"P. Kishore, Rohan Sirimalla, K. Sushma, R. S. Reddy","doi":"10.1109/INOCON57975.2023.10101300","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101300","url":null,"abstract":"Matrix multiplication is a key element in digital signal processing systems, as well as a repetitive procedure in several signal processing and computing tasks. The circuit complexity is mostly determined by the number of multiplications necessary to create the system. A parallel array multiplier is a method for meeting high execution speed requirements. In the last step of a standard Braun multiplier, there is an assembly containing 16 AND gates, 9 Full Adders, as well as a ripple carry adder (RCA). Researchers studied other 4nano devices as an alternative to CMOS since circuits are constrained by technological scalability. Quantum-dot Cellular Automata (QCA) system is really a viable alternative to CMOS technology in a variety of nano devices. It is appealing because of its quick speed, small size, with low power consumption. The creation of a small and high-speed Baugh Wooley multiplier utilizing Quantum Dot Cellular Automata is presented in this study. In DSP processors, multipliers are the fundamental building elements of many calculations. Various adder as well as multiplier models on QCA have already been presented, however there has been little effort done on signed multiplication. This paper utilizes the unique QCA characteristics to design a Baugh-Wooley Multiplier that is fast and efficient to implement both signed and unsigned multiplication and comparison will be done with present implemented multipliers. Multiplication is the basic building block for several DSP processors, Image processing and many other. QCA Designer is used to display simulation results. The computational complexity of algorithms employed inside Digital Signal Processors (DSPs) has significantly grown over time. Braun design is a simulation model of a similar array multiplier. A parallel array multiplier is a form of Braun multiplier. Braun multiplier architecture comprises mainly multiple Carry Save Adders, an array of AND gates, and a Ripple Carry Adder.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127635395","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":"Facial Emotional Recognition Using Convolutional Neural Network","authors":"Deepak Raj, Md. Abdul Wassay","doi":"10.1109/INOCON57975.2023.10101347","DOIUrl":"https://doi.org/10.1109/INOCON57975.2023.10101347","url":null,"abstract":"The face of a person is his identity. Most of his emotions, issues can be derived from his face. Face is the window to the soul which was said by famous French doctor Duchenne de Boulogne. He used several techniques to support his theory like giving shocks of electric impulses to understand how a person reacts to muscular contractions. He also tried to induce some of the expressions of bizarre looking. The ultimate aim is to analyze how much muscles contribute to emotion. He successfully derived lots of human emotions which is hidden. After 200 years this field is still active as it requires more experiments to extract invisible truths of human truths. Lots of Emotion Recognition which is automatic have been seen in the field of Marketing and Advertising. It is also seen in the field of Medical, Law and order$ldots$etc. The main fundamental question arrives whether it is good to enter into our personal space. This a question which has lots of dimension. Those who are against this practice is claiming that this is a violation of human rights by which we can use the stored data to harm the society in future. Even though it is a major concern if we can rectify the above the scope in this area is phenomenal. Lots of researchers are still working on this area because of mainly one reason that is its wide application in the area of Medical Science. It can be used by a doctor for diagnosing a person with certain psychological disorders, children with Autism, person with Parkinson’s disease. It can be widely used to diagnose children with Autism so that particular child can be motivated at early stage leads to his success in future and thus provide a good citizen to the society. In our research we are using several datasets such as FER2013, CK+$ldots$etc. These datasets have been given to a model which includes Deep Convolutional Neural Network. Here input image is given to a model using camera. The particular image has to done preprocessing to extract fine features in the model. After pre-processing we should extract emotions from the photo which is given as input by comparing it with datasets and extract the emotions from the given photo. By using FER2013 dataset the author got validation accuracy of around 99.3347 percentage and test accuracy around 60.94 percentage, with CK + it is around 96.87 percentage and 71.62 percentage for validation and test respectively.","PeriodicalId":113637,"journal":{"name":"2023 2nd International Conference for Innovation in Technology (INOCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130141046","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}