{"title":"Various Approaches to perceptual image hashing systems-A Survey*","authors":"M. Roy, D. M. Thounaojam, Shyamosree Pal","doi":"10.1109/ISACC56298.2023.10083762","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10083762","url":null,"abstract":"The era of digital space has increased the chances of illicit use of digital content exponentially, thus posing innumerable threats to legit content. This issue is tackled efficiently using the perceptual image hashing systems. This study provides an overview of the previous and current literature on the variety of techniques that are employed for the creation of perceptual hash. It also categorizes the kind of manipulation that is investigated in the literature. Moreover, the framework, different evaluation criteria, and performance metrics are also discussed. The paper presents future recommendations and drawn conclusions from the surveyed techniques.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130097242","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 Hybrid Programming Course recommendation system using Fuzzy Logic and xDeepFM","authors":"Subhasish Ghosh","doi":"10.1109/ISACC56298.2023.10083853","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10083853","url":null,"abstract":"The choice of courses is crucial to a student's career achievement. Different courses offered by various academic institutions need the students to browse the course outline in the current educational environment manually. Most of them need more understanding, struggle with decisions, and make rash decisions regarding the best course of action. A course recommendation system helps students choose a course that suits their interests and abilities. The skill level classification using Mamdani FIS allows a new student to select an equivalent course that can solve the cold start issue of the recommendation system. After the student chooses the initial course, the xDeepFM model can continue recommending relevant courses to help the student. This research contributes to integrating the FIS with xDeepFM to enhance the accuracy of course recommendations. Additionally, the hybrid method solves the cold start and the data sparsity problem and simultaneously lessens variability in relevant course search results and information overload. The experimentation result indicates that xDeepFM is a suitable method to be combined with FIS to build an efficient hybrid course recommendation system.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116127286","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":"Enhanced Channel-Wise Homomorphic Encryption for Image Inference based on Pairwise Activation Functions","authors":"Tanuja, Rakesh Kumar","doi":"10.1109/ISACC56298.2023.10084149","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10084149","url":null,"abstract":"To preserve the data privacy of deep learning models, Homomorphic Encryption(HE) is used as a promising method which has gained attention in privacy-preserving deep learning(PPDL). While PPDL algorithms based on HE has been introduced and tested, but there is a need to improve the accuracy and latency of PPDL models for practical applications. To increase accuracy, the existing method uses batch-normalization utilizing the Cofficients Merging(CM) tool, Channel-wise homomorphic encryption(CHE), and square Activation Function(AF). To improve accuracy, it did not emphasize on more AFs. Literature has explored other AFs for better performance called Pairwise AFs (Combinations of some standard AFs). Proposed work, seeks to enhance the performance of CHE-based image inference by using pairwise AFs in Convolution-Activation-BN(CAB) and Convolution-BN-Activation(CBA) schemes. Mathematically derived equations of CAB and CBA schemes shows that proposed method could significantly improve the accuracy.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120983325","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}
H. Basumatary, Rajib Chowdhuri, Mrinal Kanti Deb Barma
{"title":"A review on recent techniques developed for energy conservation in Wireless Sensor Networks","authors":"H. Basumatary, Rajib Chowdhuri, Mrinal Kanti Deb Barma","doi":"10.1109/ISACC56298.2023.10083645","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10083645","url":null,"abstract":"In modern days, with the fastest growing technology trends, the benefits of Wireless Sensor Networks (WSNs) are also increasing rapidly. In these networks, very small-sized wireless sensor nodes are used widely which are capable of sensing and doing computations. These sensor nodes are resource-limited in nature i.e., they have limited storage capacity, power supply, computation capability, bandwidth, etc. WSNs are mostly used in outdoor application areas like environmental monitoring, land mines detections or different military applications where the power supply to the sensor nodes does the major role. In these applications, without any external power supply, the sensor nodes run the whole network by collecting data from its surroundings and also communicate these data to the end-user. Hence, conserving energy for the sensor nodes is one of the most challenging tasks in WSNs. In this paper, we have done detailed study on the existing literature which are proposed with the objective to improve the energy efficiency issue in WSNs. Here, we have selectively highlighted some of the recently proposed methodologies to understand the present research scenario. We have also shown comparative analysis on the techniques and tools which are used to propose these works and their variation of the results are discussed accordingly.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"251 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123343932","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":"Jellyfish Search Algorithm based Optimal Routing Protocol for Energy Efficient Data Aggregation in Wireless Sensor Networks","authors":"S. K, S. K, J. Suganthi, D. T","doi":"10.1109/ISACC56298.2023.10084023","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10084023","url":null,"abstract":"Developing energy-efficient data collection protocols is a big challenge for wireless sensor networks (WSN) since sensor nodes are battery-powered and have severe energy limitations. Clustering methods minimize the power consumption of every sensor. Hot spots, however, are an issue in areas near the sink. Modern developments indicate the substantial development of nature-inspired optimization-based routing strategies used for data collection in WSNs to minimize energy consumption and extend lifespan. This paper presents a novel Jellyfish Search Algorithm (JSA) based on an optimal routing protocol for data aggregation in WSN. Firstly, the proposed method optimizes the size of the cluster, and secondly, a routing protocol is introduced for efficient data transmission. The simulation results show that the proposed method achieves better energy-efficient data collection and increases the lifespan of sensors.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132455642","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}
Nishant Halagatti, Bhuvan M C, Abhishek N Jadhav, Sai Pradyumna Chermala, P. Desai, V. Peddigari, Roopa Sheshadri
{"title":"Efficient Semantic Image Editing with Feature Shared Spatially-Adaptive Normalization","authors":"Nishant Halagatti, Bhuvan M C, Abhishek N Jadhav, Sai Pradyumna Chermala, P. Desai, V. Peddigari, Roopa Sheshadri","doi":"10.1109/ISACC56298.2023.10083951","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10083951","url":null,"abstract":"Recent advancements in GAN (Generative Adversarial Network) based image synthesis and image editing gave rise to powerful tools. One such tool for semantic image editing is SESAME (Semantic Editing of Scenes by Adding, Manipulating or Erasing objects). SESAME leverages SPADE (Spatially Adaptive Normalization) normalization and a novel two stream discriminator to set a new state-of-the-art. But the extensive use of computationally intensive SPADE layers makes it difficult to use in an interactive environment. We propose optimizations to reduce the redundancy in the network and improve the inference time. With our approach, we reduce the operations (in terms of MACs (Multiply-Accumulate)) of SESAME on Cityscapes dataset by about 5% and on ADE20k dataset by about 7%. Inference time is decreased by about 13% without much difference in the quality of the images produced.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129417505","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":"Mathematical Morphology Adopted Automatic Detection of Ground Glass Opacities in Lung CT Images of COVID-19 Patients","authors":"Soma Chatterjee, R. Chatterjee, R. T. Goswami","doi":"10.1109/ISACC56298.2023.10084331","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10084331","url":null,"abstract":"The severity of the nCOVID infection relies on the presence of Ground Glass Opacities (GGO) present in the patient's chest CT scan images. Although, detecting and delineating the precise boundaries of GGO in the chest CT images is challenging. Here, we proposed a fast and novel technique to automatically segment the regions containing GGO in lung CT images using mathematical morphology. We have tested our algorithm on the chest CT images of 145 Covid-positive cases. This unique segmentation approach correctly segments the lung field from chest CT images and identifies GGO with average sensitivity, specificity, and accuracy of 96.89%, 95.23%, and 97.22%, respectively. We used expert radiologists' hand-curated segmentation of GGO as ground truth for quantificational performance analysis. Our research results indicate that this algorithm performs well found in the literature.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132492404","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 Comparative Analysis on Diabetic Retinopathy using Deep Learning and Nature based Optimization Algorithms","authors":"K. Gorde, A. Gurjar","doi":"10.1109/ISACC56298.2023.10083804","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10083804","url":null,"abstract":"Diabetes, often known as diabetes mellitus (DM), is a metabolic disease caused due to high blood sugar levels. Diabetes results in Diabetic Retinopathy (DR), an eye condition that over time significantly impairs vision. Acute retinal symptoms can include micro aneurysms, swollen blood vessels, fluid leaks, exudates, and haemorrhages. Today's medical science relies heavily on images to diagnose patients correctly. In recent years, a model for computer vision has been effectively trained utilizing deep neural networks and nature-based optimization methods, exceeding earlier neural network models in terms of accuracy. By utilizing a hybrid version to assist ophthalmologists in doing these assessments, this study aims to enhance their capacity to diagnose DR. The IDRiD collection of retinal pictures, which is openly available, was used in this study. In the suggested model, features were extracted from the input photos using a deep learning model, specifically InceptionV3 and DenseNet-169, and classification was performed using the optimization algorithms PSO, ACO, and BEE. The fully connected layer's output weights were optimized using weights that were learned using ImageNet data to provide suitable features. This work demonstrates that a pre-trained system combined with a metaheuristic algorithms may reliably diagnose DR.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132592445","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":"Answer Selection Using Interactive Attention Mechanism","authors":"V. Venkataraman, S. Nirmala","doi":"10.1109/ISACC56298.2023.10084083","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10084083","url":null,"abstract":"Answer selection is a crucial subtask of a question answering system that focuses on ranking candidate answer sentences from an answer pool based on how relevant and useful it is to answer the question. Conventional deep learning methods like RNNs and CNNs suffer from obtaining local and global context information from the sentence representation. Also, utilizing question context information to generate better answer sentence representation will also contribute to better learning. Thus, our proposed approach uses an interactive attention mechanism using both co-attention for learning question context and self-attention for learning global context. We also adopt the attentive pooling network for compressing features where each element in a question-answer sentence pair can influence the representation of the other. We evaluate our proposals on the TREC-QA dataset and compare using the metrics of MRR and MAP. Our proposed model shows better performance on these evaluation metrics compared to existing baseline models.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114468294","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":"Security Enhancement using Vectoring, Cryptography and Steganography","authors":"Mridul Mittal, Saurav Gupta, Pankaj Kumar Keserwani, Mahesh Chandra Govil","doi":"10.1109/ISACC56298.2023.10084078","DOIUrl":"https://doi.org/10.1109/ISACC56298.2023.10084078","url":null,"abstract":"Secure transmission of data is one of the most challenging goals. Generally, users avoid the use of a secure channel due to its high cost. Various schemes have been proposed to solve this issue. Some of the schemes are based only on encryption or steganography alone, which is not able to provide the desired level of security in a modern scenario. In this work, a security scheme has been proposed to address the challenge of secure communication at a low cost in three phases: vectoring, cryptography, and steganography. The proposed scheme has a flexibility factor that allows for different levels of security and secrecy. Different types of messages require different levels (high/low) of security, considering the circumstantial robustness on demand. A high level of security ensures security against attacks from the attacker for sensitive information. Our proposed security scheme is capable of providing the required level of security with decreased complexity. The proposed scheme is of a dynamic nature, as per the requirement.","PeriodicalId":211409,"journal":{"name":"2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133684093","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}