Proceeding International Conference on Science and Engineering最新文献

{"title":"Various Feature Extraction and Selection Techniques for Lexicon Based and Machine learning Sentiment Classification","authors":"Shital A. Patil, Krishnakant P. Adhiya, Girishkumar K. Patnaik","doi":"10.52783/cienceng.v11i1.361","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.361","url":null,"abstract":"Introduction: Natural Language Processing (NLP) is a kind of software that gives computers the ability to comprehend human languages. Words are often used as the fundamental unit for grammatical and semantic analysis on a deeper level, and the major objective of most natural language processing (NLP) projects is word segmentation \u0000Objectives: Proposed System uses the feature extraction method for generating the hybrid feature to get good accuracy for classification in order to solve the practical problem of huge structural differences between different data modalities in a multi-modal environment, where traditional machine learning methods cannot be directly applied to solve the problem. \u0000Methods: In order to do so, this paper introduces the method for generating the hybrid feature. In this System, we utilise a various feature extraction and selection technique from large text. The data has collected from students’ feedback and these feature extraction techniques has applied \u0000Results: Each technique provides different feature extraction while NLP based dependency features provides homogeneous feature set with relationship. \u0000Conclusions: In extensive experimental analysis NLP based features obtains higher precision over the other feature extraction techniques in classification.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132768274","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":"Analyzing the Effectiveness of the Forest Rights Act in Mitigating Displacement Issues Among Forest-Dependent Communities: A Case Study of the Dudhwa-Katarniaghat Tiger Reserve in Uttar Pradesh","authors":"Keshav Walke, Shyamrao Koreti, Amen Xavier","doi":"10.52783/cienceng.v11i1.362","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.362","url":null,"abstract":"The Dudhwa-Katarniaghat Tiger Reserve is a protected area situated in the Terai region of Uttar Pradesh, India, which has caused the significant displacement of indigenous communities, particularly the Tharu indigenous group. The Tharu community has lived in the Terai region for centuries, but their displacement from their lands and homes due to the establishment of the Tiger Reserve has resulted in the loss of traditional livelihoods, cultural practices, and a sense of identity(Paul & Bahuguna, 2015).","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125959088","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":"Re-Thinking Society and Culture in the Era of Globalization - A Study of Selected Writings of Mahasweta Devi and Arundhati Roy","authors":"K Jayaramudu","doi":"10.52783/cienceng.v11i1.387","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.387","url":null,"abstract":"This paper presents the writers consciousness of the society in the Era of Globalization specially how the writers try to show India in their works such as Mother of 1084, Bayen, Aajir, Statue were written by Mahasweta Devi and The God of Small Thingswas written by Arundhati Roy these two writers generally trigger the society’s pathethatic situation of the human condition such as in the form of Naxalism, women subjugation, oppression, outcast and patriarchal society, caste, class and gender in which especially how the women characters are shown not only women but also other souls in the novels through them we can easily understand the writers unconsciousness towards the culture of India. Here we can see how the women characters are killed or weaken in their works particularly apolitical mothers of children are made voiceless at the end of the novels (mother of 1084,Bayen,Statue and The God of small things) though they are Women writers and also radical in thinking they cannot escape from the Culture psychologically.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130020542","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":"House Price Prediction Using Texture and Visual Features","authors":"Sweety G. Jachak, Sayantan Nath","doi":"10.52783/cienceng.v11i1.261","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.261","url":null,"abstract":"Real estate sector has been growing at a rate never seen before. For this sector, a key role is played by the pricing of the property. Gone are the days when the price of the property was based on whims and facies of the real estate dealers. Machine learning has numerous applications in the domain of real estate, and one of the most popular ones is predicting house prices. The application of machine learning in house price prediction involves training a model on a dataset that includes a variety of visual and texture features related to the property. The model is then used to predict the price of a new property based on its features. \u0000This paper successfully explores machine learning based house price prediction. The methodology followed was to first use data sets to train the model. Later, using correlation-based hybrid GA-reinforcement strategy, a suitable set of features has been selected. In the end, these features are applied to a XG boost regressor to get results. The accuracies are compared with the cases of without feature selection of different regressors. This algorithm, if successfully deployed will be beneficial to both sellers and buyers, because it sets a data-based benchmarking for pricing the property.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124959740","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":"Cross Border Insolvency: A Pearl in the Ocean","authors":"K. H. H. S. B. S. R. K. V. D. Kishore Kumar","doi":"10.52783/cienceng.v11i1.213","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.213","url":null,"abstract":"International Insolvency can also be termed as Cross Border Insolvency, when the debtor having assets or liabilities in more than one jurisdiction. International insolvency sometimes termed as Cross-Border insolvency was in practice since early stages in England and it was governed by the common Law of England. The Solomon v. Rosswas the first case recorded in 1764, in this case English creditor brought action in England against the sum owing to the Dutch firm which was declared as bankrupt in Netherlands. The historical development of Cross-Border insolvency can be traced back since modern Private International Law’s birth, when state use to enter into agreements and sign treaties, to harmonize their relationship and to resolve their conflicts. The treaty of Montevideowas signed by five countries in 1889 to harmonize their fiscal policies, was the first to recognise Cross-border Insolvency. Due to the Advent of globalisation, The insolvency Law Committee was formed for drafting the bill of Insolvency and Bankruptcy bill and it Included 2 provisions for dealing with the Cross Border Insolvency issues and the increasing foreign direct investment in India, there is a strong need of increasing incorporation of company in various jurisdictions and there is an urgent need for Law on Cross Border Insolvency for solving the disputes across jurisdictions","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125741563","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":"The Critical Determinants of Application of Blockchain Technology in Enhancing Cyber security in the Modern Technology Era","authors":"Preety Tak","doi":"10.52783/cienceng.v11i1.214","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.214","url":null,"abstract":"Blockchain is a framework that joins a unique arrangement of properties to ensure network security, straightforwardness, and perceivability, including a decentralized construction, conveyed records and capacity instrument, agreement convention, brilliant agreements, and uneven encryption. The following six factors—cybersecurity, corruption prevention, e-government advancement, effective governance, political stability, and democratic participation—were put to the test for blockchain adoption. The study demonstrates that political stability, government efficiency, and cybersecurity are important determinants. The possibility that a country will adopt blockchain technology is increased by elevated degrees of cybersecurity and effective government. Ironically, more political stability makes it less likely that blockchain technology will be adopted quickly. The Blockchain Drive filled in as the wellspring of information for blockchain reception, but it is important and crucial to systematically compile information on blockchain efforts throughout the world. Further data collection efforts by international donor organisations are required in order to improve the models for blockchain adoption.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131161424","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 Innovative Method for Mitigation of Radon: A Case Study in Bangalore Area, Karnataka, India","authors":"Sathish L. A.","doi":"10.52783/cienceng.v11i1.211","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.211","url":null,"abstract":"Introduction: \u0000Elevated radon levels in the indoor environment in many countries that led to the realization of residential radon as being a possible public health issue in the western world. It was also hoped that in conjunction with epidemiological studies, large-scale indoor radon surveys might lead to quantitative understanding of the low dose effects of radon exposures. Earlier work for the environment of Bangalore city reveals that, the activity concentrations of 226Ra in soil varied in the range of 7.7–111.6 Bqkg-1 with a mean value of 26.2 Bqkg-1. The concentration of 232Th varied in the range 16.7–98.7 Bqkg-1 with a mean value of 53.1 Bqkg-1 and that of 40K in the range 151.8 –1424.2 Bqkg-1 with a mean value of 635.1 Bqkg-1. An attempt has been made to observe the reduction in radon concentration by deploying lamination on the walls and mosaic tiles on the floorings of the room. \u0000Objectives: Radon mitigation is a new approach to minimize the radioactive gases in the working environment.  In view of this an attempt has been made to witness the reduction in radon concentrations due to Formica laminate on the walls and placing mosaic tiles on the flooring of the room.  \u0000Methods: CAN technique and solid state nuclear track detectors based dosimeters are used for the observation of radon exhalation and the concentration of radon/thoron levels in a room. . \u0000Results: Good reduction in radon levels were observed after deploying the Formica laminate on the walls of the room and the mosaic on the floorings of the room. This is an innovative method needs to be incorporated for the reduction in higher level concentrations.  \u0000Conclusions: Reduction in concentration is more than 50% after renovation and it may be used as an innovative approach.  ","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128327894","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":"The Growing Function of Understanding Wireless Network Technologies for Upcoming Generation Digital Stream Processing","authors":"Preety Tak","doi":"10.52783/cienceng.v11i1.212","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.212","url":null,"abstract":"With the development of the fifth generation (5G) and sixth generation (6G) networks, wireless networks are beginning accomplish persistent large scale obtainment, and communication. Modern cellular technology and the developing new era are both seen favourably for the smart grid. The 5G and 6G networks are being developed and prepared for deployment by the mobile industry. The development of IoT and other intelligent automation applications is being significantly fueled by the growing wireless networks, which are becoming more widely accessible. Network densification, fast throughput, precise location, and energy efficiency criteria will be increasingly demanding in future wireless communications. One of the core areas of wireless networking research in the future will be how to increase productivity while reducing expenses. Approaching this goal in a way that allows for the ability to learn from experience is crucial. Transfer learning (TL) promotes new activities and domains to pick up knowledge from more seasoned tasks and domains so that new tasks may be completed more quickly and effectively. The connection and similarity information between various jobs in several domains of wireless communications can assist TL conserve energy and increase efficiency. Applying TL to upcoming 6G communications is thus a very important subject.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133010916","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 Automatic Stress Analysis and Emotion Detection Framework for Humans Based on Several Brain Signals","authors":"Kishor R. Pathak","doi":"10.52783/cienceng.v11i1.207","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.207","url":null,"abstract":"In common parlance, stress is the feeling people get when they have a lot on their plates and are having trouble keeping up with everything. Although some degree of stress might be useful in the short term, chronic stress has serious negative effects on health, including increased risk of cardiovascular problems such heart disease, high blood pressure, and stroke. Depression, anxiety, and personality disorders are also possible outcomes. Hence, stress detection is helpful for managing stress-related health problems. Perceptual, behavioural, and physiological reactions all provide useful indicators of stress levels. Based on feature extraction and classification methods, numerous researchers have presented a wide variety of methods. Some of these methods are difficult to implement and produce unreliable outcomes when applied to the study of human stress.Patient denial, insensitivity, subjective biases, and inaccuracy are only some of the issues that arise from relying solely on doctor-patient interaction and scale analysis when diagnosing Stress. To better predict clinical results, a computerised, objective system is needed for Stress diagnosis and treatment. In an effort to better detect Stress, this research modifies EEG data and use machine learning algorithms. Ten participants' EEGs were recorded using a Narosky system while they were exposed to various emotional face cues. Psychologists relied on the EEG signal as a diagnostic tool for Stress. Both machine learning and deep learning were used to analyse the features. Using PCA, ICA, and EMD for BCI applications yields significant results. With SVM, a programmer can reap many benefits: PCA has great generalisation properties, and it can detect tension and pressure from EEG signals. The effect of overtraining is particularly vulnerable to the curse-of-dimensionality when the signals are negative. By analysing EEG waves, we were able to detect Stress with these benefits. The experimental study provides a somewhat comprehensive summary of the various methods, all of which rely on frequency domain analysis of 14 EEG data.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130500262","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":"Instrumentation Electrode Configuration Signal Processing and Applications of Brain Computer Interfacing: A Review","authors":"S. M. M. N. A. A. S. M. S. O. Nilange, A. Puranik, Y. A. Chavan","doi":"10.52783/cienceng.v11i1.178","DOIUrl":"https://doi.org/10.52783/cienceng.v11i1.178","url":null,"abstract":"Brain-Computer Interface (BCI) is a fast-emerging technology in which researchers aims to build a direct channel between the human brain and external electronic device. The methods used for this may be invasive (ECoG), or non-invasive (EEG, MEG, fMRI, etc.). EEG-based Brain Computer Interface (BCI) is used to scale the brain movement and convert them into control signals for monitoring and control. These systems are used to develop several applications like Limb Replacements for paralyzed or disabled people, Military Enhancement, Driving Safety, Games and Entertainment, Emotion Classification, etc. Though non-invasive systems have limitations in terms of ability to detect and measure electrical activity of small groups of neurons. However, they can be used for monitoring general cognitive state and brain activity for diagnosis of brain disorders and mental health issues. The review of brain activity mapping techniques, instrumentation, signal processing, and applications of BCI is presented in this paper.","PeriodicalId":214525,"journal":{"name":"Proceeding International Conference on Science and Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129577388","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}