International Journal of Experimental Research and Review最新文献

{"title":"Supervised learning for Attack Detection in Cloud","authors":"Animesh Kumar, S. Dutta, Prashant Pranav","doi":"10.52756/10.52756/ijerr.2023.v31spl.008","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.008","url":null,"abstract":"In this study, we approach a supervised learning algorithm to detect attacks in cloud computing. We categorize “Normal” and “Attack” statuses on the dataset. The model evaluation process uses the kappa statistic, the F1-score, recall, accuracy, and precision. The system has a very high detection and efficiency rate, with a detection rate of over 99%. A total of 9594 cases and 44 distinct columns are included in the dataset. The study's results were displayed using a ROC curve and a confusion matrix. This study focuses on implementing a supervised learning algorithm for detecting attacks in cloud computing environments. The main objective is distinguishing between \"Normal\" and \"Attack\" statuses based on a carefully curated dataset. Several metrics, such as the kappa statistic, F1-score, recall, accuracy, and precision, are employed to evaluate the model's performance. The dataset utilized in this research comprises 9594 cases and encompasses 44 distinct columns, each representing specific features relevant to cloud computing security. Through a rigorous evaluation process, the algorithm demonstrates exceptional efficiency, achieving a remarkable detection rate of over 99%. Such high accuracy in identifying attacks is crucial for ensuring the integrity and security of cloud-based systems. The significance of this study lies in its successful application of a supervised learning approach to tackle cloud computing security challenges effectively. The model's high detection rate and efficiency indicate its potential for real-world deployment in cloud-based systems, contributing to enhanced threat detection and mitigation. These results hold promising implications for bolstering the security measures of cloud computing platforms and safeguarding sensitive data and services from potential attacks.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"2 1-2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133577309","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":"Diabetic retinopathy stage detection using convolutional fine-tuned transfer Learning model","authors":"Jahnabi Medhi, Mithun Karmakar, A. Barman, Subhash Mondal, A. Nag","doi":"10.52756/10.52756/ijerr.2023.v31spl.004","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.004","url":null,"abstract":"Diabetic Retinopathy (DR) is a prevalent eye condition that occurs as a frequent complication among individuals with diabetes, particularly those who have been living with the disease for an extended period of time. This study uses fundus images to diagnose DR at five stages from early to late with No DR, Mild, Moderate, Severe, and Proliferative DR, commonly known as Stage 0 to Stage 4, respectively. This will aid in the timely treatment of diabetic patients preventing them from developing DR as early as possible. We used two most popular open-source datasets, the DR Detection database, namely APTOS 2019 and EyePACS, and combined them to create a larger dataset to trade off the data-centric obstacle and shortfall for any Deep Learning-based prediction models. Data augmentation and preprocessing techniques are applied to the images before feeding them to the proposed model to get a more accurate and efficient one. In the modern age oriented to Artificial Intelligence (AI), it is necessary to thoroughly analyze the identification of DR based on the existing Deep Learning (DL) models. After learning about the limitations of existing models, we have fine-tuned the ResNet50, DenseNet201 and InceptionV3 to enhance the model performance of the detection and categorization of DR. We have since proposed three Deep Convolutional Neural Networks (DCNN) models with better outcome based on accuracy than the existing state-of-the-art (SOTA) models. The fine-tuned DenseNet201 model, among the other two, performed significantly better with a validation accuracy of 90.04% and a negligible amount of loss, irrespective of each class, under the best configurable test conditions.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130869748","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":"Statistical feature-based EEG signals classification using ANN and SVM classifiers for Parkinson’s disease detection","authors":"R. Haloi, D. Chanda, Jupitara Hazarika, A. Barman","doi":"10.52756/10.52756/ijerr.2023.v31spl.014","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.014","url":null,"abstract":"Parkinson's disease (PD) is a neurological disorder which is progressive in nature. Although there is no cure to this disease, symptomatic treatments are available. These treatments can slow the progressive development of the symptoms. Medications can treat some of the symptoms of the PD up to a great extent that in turn may help the patients to live a normal life. Besides these medications, the patients can also be provided with various therapies based on the types of their symptoms. But for providing any treatment, detection of its symptoms at an early stage is very important. This can reduce its future complexities considerably. Early diagnosis along with proper medications may treat the symptoms of PD significantly. This motivates to propose a new and effective methodology for detection and analysis of PD. In this work, an approach has been proposed for identification of PD patients by using Electroencephalogram (EEG) signals. Here, the EEG signals of normal persons and PD patients are processed in three stages. First, the raw EEG signals are pre-processed for removal of noises and artefacts present. Out of various techniques, Wavelet transform is used for this purpose. In the MATLAB environment, de-noising can be executed by using the in-built functions. Performances of the de-noising techniques are examined with the performance parameters namely Root Mean Square Error (RMSE) as well as Signal to Noise Ratio (SNR). In the second stage, statistical features are extracted from the pre-processed EEG signals. In this work, five statistical features are considered for performing the classification. In the final stage, the extracted features are classified using Artificial Neural Network (ANN) and Support Vector Machine (SVM) techniques. ANN is an efficient classifier that predicts the human brain's working manners. SVM on the other hand has been proven as one of the most prevailing classification algorithms that gives highly accurate and robust results. This is a novel approach of analyzing the performances of the classification techniques by evaluating the best performing feature. In both the classifiers accuracy, precision, sensitivity and specificity are calculated from the confusion matrix evaluated from the values of the statistical features. In ANN, results using six different training algorithms at different hidden layers are calculated and compared. This proves the training algorithm Levenberg-Marquardt back-propagation with hidden layer 20 as the best combination for performing the classification. From the results it is seen that both ANN and SVM classifiers provide significant classification accuracies of 94.7% and 96.5% respectively. Amongst the five considered features, Mean performs the best in terms of classification accuracy.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134103075","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":"Prognosis assessment of the role of digital platforms in providing the internationalization of the knowledge economy","authors":"K. Alekseieva, I. Novikova, V. Zalizko, O. Bediukh, S. Gupta, M. Holovanenko","doi":"10.52756/10.52756/ijerr.2023.v31spl.001","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.001","url":null,"abstract":"The study aims to assess and predict the quantitative and qualitative characteristics of the impact of digital platforms on the internationalization of technology transfer and the knowledge economy in general. The study's theoretical basis is the methodology of integrated assessment of the functioning of the international platform Enterprise Europe Network which is a component of the macroeconomic system in its classical sense. The multifactor analysis provides a predictive assessment of the role of digital platforms in the knowledge economy's internationalization process and outlines typical scenarios for the formation of an innovative paradigm for managing the internationalization of technology transfer. The integral value of the index of the impact of digital platforms on the process of internationalization of the knowledge economy was obtained, which allowed the separation of an innovation cluster to enhance technology transfer in three countries: Great Britain, Poland and Ukraine, i.e., the countries with high correlations of knowledge economy activation. The binary influence of the Covid-19 pandemic on the development of high-tech solutions in the knowledge economy is proven.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132539617","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":"Exploration of ethno-medicinal herbs and their practices by indigenous people of Achanakmar regions of Chhattisgarh State, India","authors":"Jageshwer Shriwas, L. Sharma, C. Acharya","doi":"10.52756/10.52756/ijerr.2023.v31spl.018","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.018","url":null,"abstract":"The study was performed in the Achanakmar regions of Chhattisgarh state, India.  At the study site, a total of 54 herbaceous medicinal plants belonging to 30 families were documented. Between March 2020 and March 2022, intensive field surveys were conducted in the research areas. Native knowledge of wild medicinal plants was obtained on field trips through questionnaires, discussions, and in-person interviews. In accordance with their correct nomenclature, plants were organized according to their botanical name, family, common name, parts used and diseases treated. The Zingiberaceae family was the most prevalent in the current study, accounting for 5 plant species used by the region's indigenous people. This was followed by the Amaranthaceae, Acanthaceae, Fabaceae, Asteraceae and Lamiaceae families, each representing 3 species of plants. For a longer period of time, the rural residents of the Achanakmar region have used native flora for primary healthcare and the treatment of various diseases. However, there was little information about traditional knowledge of medicinal plants documented. Rural Achanakmar people asserted that younger generations are less interested in traditional knowledge of medicinal herbs due to societal development. Therefore, it is crucial to document ethnomedicinal plants before they are no longer available and go extinct. In order to effectively conserve plants and traditional knowledge for the future, this ethnobotanical database will be helpful to scientists, naturalists, planners, policymakers, and chemists.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123311278","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 study on mobile telecommunication systems using OpenAirInterface platform","authors":"S. Chaudhari, Bhavana Dinesh","doi":"10.52756/10.52756/ijerr.2023.v31spl.015","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.015","url":null,"abstract":"Significant progress has been made in deploying 5G mobile networks in the last few years, providing rapid connectivity and low-latency communications. This study thoroughly analyzes the deployment of 5G networks utilizing the Open Air Interface (OAI), a free and open-source wireless communication technology. The survey gives a general overview of OAI's various fields and applications. It then looks at numerous uses and industries where OAI-based networks for 5G have been effectively implemented. The paper includes in-depth discussions of OAI's technical features and information on how it supports creating software-defined radio (SDR) platforms for 5G networks. It emphasizes OAI's versatility and flexibility, allowing researchers and developers to test various network setups and protocols. The survey's results show how OAI is becoming increasingly crucial to designing and rolling out 5G networks in various sectors. Researchers and professionals can investigate fresh applications and services that make the most of 5G technology by utilizing the capabilities of OAI. The taxonomy is designed and developed by categorizing the existing proposed solutions using OAI to easily deploy mobile telecommunication networks cost-effectively and flexibly to support various features and functionalities. Each category in the developed taxonomy is discussed and compared regarding multiple parameters.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127048427","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 IoT-based soil analysis system using optical sensors and multivariate regression","authors":"Neha Jain, Yogesh Awasthi, R. K. Jain","doi":"10.52756/10.52756/ijerr.2023.v31spl.003","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.003","url":null,"abstract":"Food is the primary requirement for the survival of any living being on this planet. The rapid increment in the population is a major concern for adequate food production due to the depletion of agricultural land, which has turned into housing societies. However, agriculture is India's main business and primary income source for the farmers. The agricultural crop yield mainly depends upon the physical parameters of the soil, such as micronutrients and pH values. The main constraint in monitoring these parameters is the location of land at the far remote places and it takes enough time to test these parameters following the lab test process. The real-time analysis of all the parameters remained a big challenge for the farm owner, so the soil fertility level could not be sustained at the optimum level during most of the crop production cycle. This ultimately results in the average level of crop production and becomes a matter of chance since the soil fertility and other parameters barely suit the crop type under cultivation. This paper mainly focuses on developing an Internet of Things (IoT) based digital method to measure the availability of soil macronutrients and their pH using a color optical sensor TCS3200 and transmit those parameters to a long distance in case of unavailability of any telecommunication network. The paper also describes the deployment of Long Range (LoRa) units interfaced with ESP8266 for long-distance communication and uploading the entire information over the cloud platform, which will be displayed over the mobile using an API. The average accuracy of the proposed method in determining the soil macronutrients was 0.969 for phosphorus, 0.953 for nitrogen, 0.961 for potassium, and 0.921 for Soil pH.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128339835","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":"Raw fruit juice processing wastewater treatment using electrochemical coagulation followed by synthesis of CuO Nano sorbents using leaf extract","authors":"H. Srikantha, M. S. Eshanna, G. V. Gaonkar","doi":"10.52756/10.52756/ijerr.2023.v31spl.007","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.007","url":null,"abstract":"Stainless steel and aluminium electrode was utilized inside batch electro chemicals coagulations (BECCs) using current densities (CD) for the treatment of fruit juice processing wastewater (FJPW). During ECC, ~65-70% color removal and COD removal of ~55-60% was observed for CD 260 A/m2 at 75 min electrolysis time for both 4SS (four stainless steel) and 4Al (four aluminium) electrodes. In general, 4SS and 4Al electrodes had less influence on FJPW for all CDs. Therefore, to improve the quality of treatment of leftover color and COD by BECC treatment, the batch adsorption studies were conducted as secondary treatment by synthesis of CuO nanoparticles using Carica papaya, Centella asiatica (CA), Ocimum sanctum and 1:1:1 mixture of leaves. An effect of several operating parameters like adsorbent dose, pH, and contact duration on leftover color and COD removal was studied for optimal conditions to treat FJPW. The results showed that ~70% color and ~65% Chemical Oxygen Demand elimination at an optimal condition for adsorbent dosages 0.60 g/L, at pH 8.0 to 8.5 and contact time 40 min for CA and 1:1:1 mixture of leaves. Altogether, BECC - nanosorption, a dual treatment, effectively treated FJPW wastewater with clean water reclamations of up to 90%.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130780940","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":"Salp Swarm Algorithm to solve Cryptographic Key Generation problem for Cloud computing","authors":"Waseem Kaleem, Mohammad Sajid, Ranjit Rajak","doi":"10.52756/10.52756/ijerr.2023.v31spl.009","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.009","url":null,"abstract":"Cryptographic keys are long strings of random bits generated using specialized algorithms and help secure data by making it unpredictable to any adversary. Cryptographic keys are used in various cryptographic algorithms in many domains, i.e., Cloud computing, Internet-of-Things (IoT), Fog computing, and others. The key generation algorithms are essential in cryptographic data encryption and decryption algorithms. This work proposed a cryptographic key generation algorithm based on Shannon entropy and the Salp Swarm algorithm (SSA) for generating randomized keys. The proposed Cryptographic Key Generation algorithm utilizes the dynamic movement of salps to create high-quality, robust, and randomized keys against attacks. The transfer function and quantization method convert a salp into a cryptographic key. The proposed Cryptographic Key Generation algorithm has been evaluated on four transfer functions against three state-of-the-art swarm intelligence metaheuristics, i.e., particle swarm optimization, BAT, and grey wolf optimization algorithms. The keys of eight different bit lengths, i.e., 512, 256, 192, 128, 96, 80, 64, were generated and evaluated due to their applications in the different encryption algorithms, i.e., AES, DES, PRESENT, SIMON, SPECK, and 3DES. The simulation study confirms that the proposed key generation algorithm effectively produces secure cryptographic keys.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122084064","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":"Survey on performance parameters of planar microwave antennas","authors":"Ravi Kumar, Anchal Garg, Heli Shah, Bhupinder Kaur","doi":"10.52756/10.52756/ijerr.2023.v31spl.017","DOIUrl":"https://doi.org/10.52756/10.52756/ijerr.2023.v31spl.017","url":null,"abstract":"Planar antennas, which include microstrip antennas and printed circuit board antennas, are used in telecommunications. This study aims to provide an overview of microstrip antennas for diverse applications. Microstrip patch antenna design is a new study topic that has been established for usage in 5th-generation communication applications. An antenna is a group of connected devices that serve as a single antenna to broadcast or receive radio waves. Antennas come in a variety of designs and sizes. The paper discusses several printed microstrip antenna designs, such as rectangular to circular, broadband, dual-band, millimeter-wave and microstrip arrays. The microstrip patch is an antenna layout that is lightweight, low-profile, and results-oriented. Microstrip patch antennas may be employed in various 6G communication system applications in the future. This paper examines antenna geometric structures, antenna analysis methodologies, antenna dimensions and many different types of antennas. It will also go over the substrate materials, loss tangent, thickness, return loss, bandwidth, voltage-standing-wave-ratio (VSWR), gain, and directivity so that an optimized antenna can be designed and fabricated having excellent characteristics for use in modern applications by the promising academic researchers in the near future.","PeriodicalId":190842,"journal":{"name":"International Journal of Experimental Research and Review","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134200425","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}