2023 6th International Conference on Information Systems and Computer Networks (ISCON)最新文献_第6页

LoRaWAN Gateway Architecture for Aquaculture Monitoring in Rural Area 面向农村水产养殖监测的LoRaWAN网关架构

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111936

Dhruval Singh, Govind Sharma, Ishan Minhas, Gurkirat Singh, P. Mahajan, P. Verma, Gitanjali Chandwani Manocha

{"title":"LoRaWAN Gateway Architecture for Aquaculture Monitoring in Rural Area","authors":"Dhruval Singh, Govind Sharma, Ishan Minhas, Gurkirat Singh, P. Mahajan, P. Verma, Gitanjali Chandwani Manocha","doi":"10.1109/ISCON57294.2023.10111936","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10111936","url":null,"abstract":"In fish farming, it is imperative to have detailed data about water quality, dissolved oxygen and nutrients etc., not only in large scale classic farming applications but also for urban aquaculture. To ensure the survival of the fish, the water should be monitoring at regular intervals. This periodic monitoring is cumbersome and prone to human error if done manually. Live and automated monitoring will not only save human effort but also increase the productivity of the fishing farming. This automated monitoring requires robust network connectivity to ensure live data collection using sensors and storage in cloud/server. However, for rural area the network connectivity may or may not be available. LoRaWAN is very popular Internet of Things (IoT) access network technology. In this paper, we carry out experiment to extend the network range using LoRaWAN (Long Range Wide Area Network) for live and automated aquaculture monitoring. The monitoring is done with the various sensors that collect data related to quality of water at different time and sending the data to the nearest LoRaWAN Sensor Node, which further forwards the aggregated data to LoRaWAN gateway. The LoRaWAN radio module that allows long-range wireless data transmission and low-power battery operation for several months at reasonable module costs The proposed system is evaluated in terms of transmission range, battery runtime and sensor data accuracy.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"362 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":"126699891","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}

引用次数: 0

Mitigation and Comparison of Chromatic Dispersion at Distinct Frequencies Using Hybrid Model at A Bit Rate of 100Gbps over 120Km Distance 使用混合模型在120Km距离上100Gbps比特率下不同频率色散的缓解和比较

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112148

Amit Verma, Sushil Kumar, Inder Singh, Ashwani Kumar, R. K. Saini, Saubhagya Kumar Moharana

{"title":"Mitigation and Comparison of Chromatic Dispersion at Distinct Frequencies Using Hybrid Model at A Bit Rate of 100Gbps over 120Km Distance","authors":"Amit Verma, Sushil Kumar, Inder Singh, Ashwani Kumar, R. K. Saini, Saubhagya Kumar Moharana","doi":"10.1109/ISCON57294.2023.10112148","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112148","url":null,"abstract":"In this paper, a Hybrid model is proposed for compensation of chromatic dispersion which can ensure the high bit rate, a higher Q-factor and lower BER for long distance optical communication. It can be achieved by taking into consideration the major limiting factors like dispersion, attenuation, and other linear and non-linear effects of optical fiber. Chromatic dispersion is the principal deterrents in high velocity information transmission thus ought to be compensated by different methodologies all through the transmission system. This study presents the simulation results of a proposed hybrid model which is a combination of Uniform Fiber Bragg Grating (UFBG) and Electronic Dispersion Compensation (EDC) along with Erbium Doped Fiber Amplifier (EDFA). This model is designed to mitigate the effect of chromatic dispersion present in optical fiber communication system. Here, the analysis is carried out by varying the input carrier frequency range from 193.1 THz to 193.5 THz and then comparing their outcomes to get the satisfactory result. As a result, we find that the quality factor rises monotonically as the frequency is increased up to some level and then it undergoes an abrupt fall along with a rise in BER. The simulation is done with the help of Opti-System 7.0 simulator.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"45 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":"126595119","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}

引用次数: 0

Exploring the Impact of Big Data Analytics Capabilities on Indonesian Firm Performance - A Mediation Analysis of Business Process Agility and Process-oriented Dynamic Capability 探索大数据分析能力对印尼企业绩效的影响——业务流程敏捷性和面向流程的动态能力的中介分析

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112001

Nugraha Kusbianto, E. Sukoharsono, Arizal Darmawan

引用次数: 0

An Insight into Machine Learning Techniques to Detect Anomalous Users 洞察机器学习技术检测异常用户

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112179

P. Kumar, Ajay Kumar, Kakoli Banerjee, Ayush Paharia, Arushi Singh, Anushka Chaudhary

引用次数: 0

A Support Vector Machine Learning Technique for Detection of Phishing Websites 网络钓鱼网站检测的支持向量机器学习技术

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111968

Saumya Jain, Chetan Gupta

引用次数: 1

Ontology Based Agriculture Data Mining using IWO and RNN 基于本体的IWO和RNN农业数据挖掘

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112187

Deepak Saraswat

{"title":"Ontology Based Agriculture Data Mining using IWO and RNN","authors":"Deepak Saraswat","doi":"10.1109/ISCON57294.2023.10112187","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112187","url":null,"abstract":"An ontology is a machine-interpretable formal description of domain knowledge. In current years, ontologies have risen to prominence as a key tool for demonstrating domain knowledge and a key element of several knowledge management systems, decision-support systems (DSS) and other intelligent systems including in agriculture. However, a study of the current literature on agricultural ontologies suggests that the majority of research that suggest agricultural ontologies lack a clear assessment mechanism. This is unwanted because this is impossible to assess the value of ontologies in research and practise without well-structured assessment mechanisms. Furthermore, relying on such ontologies and sharing them on the Semantic Web or amongst semantic-aware apps is problematic. This paper presents a framework for selecting appropriate assessment techniques for Ontology Based Agriculture Data Mining utilizing Invasive Weed Optimization (IWO) and Re-current Neural Network (RNN) that appears to be absent from most recent agricultural ontology research. The framework facilitates the selection of relevant evaluation techniques for a particular ontology based on its intended user.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"18 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":"132713836","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}

引用次数: 0

Machine Learning based URL Analysis for Phishing Detection 基于机器学习的URL检测

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112057

Rashmi Jha, Gaurav Kunwar

{"title":"Machine Learning based URL Analysis for Phishing Detection","authors":"Rashmi Jha, Gaurav Kunwar","doi":"10.1109/ISCON57294.2023.10112057","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10112057","url":null,"abstract":"Attacks that take place online most frequently take the form of phishing scams. Attackers attempt to gather user data without the consent of any such user through emails, URLs, and any other link that sends a viewer to the a dubious page where a consumer is persuaded to start taking specific actions that can successfully complete an attack. An attacker has the opportunity to gather vital information about the victim during these attacks, which they can use to presume the victim’s identity & carry out tasks that only the victim should have been able to carry out, such as making purchases, sending messages to the other people, and simply attempting to access the victim’s info. Many studies have been done to discuss potential defenses against these assaults. This study employs three algorithms for machine learning to ascertain whether such a web page is phishing. In the experiment, software that analyzes web page URLs to distinguish between legitimate & phishing websites is used to try to prevent attacks using these models which have been trained to utilize URL-based features. The accuracy, recall, and F1 Score of the random forest classifier’s performance from the observations were 97.5%, 99.1%, and 97.3%, respectively. The proposed model is quick and effective because, unlike earlier studies, it only relies on the URL and doesn’t conduct analysis using any other sources.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"12 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":"134197805","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}

引用次数: 0

Music Recommendation System through Hand Gestures and Facial Emotions 基于手势和面部情绪的音乐推荐系统

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112159

Meeta Chaudhry, Sunil Kumar, Suhail Qadir Ganie

引用次数: 1

Prevention of Security Attacks in Cloud Computing 云计算环境下的安全攻击防范

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10112020

Kashish Gaur, Kaamya Gaur, M. Diwakar, Prabhishek Singh, Neeraj Kumar Pandey

引用次数: 0

A Retrospective: Sightseeing Excursion of Threatened Miscarriage Pertaining Ensemble Machine Learning Algorithms 回顾:关于集成机器学习算法的威胁流产的观光游览

2023 6th International Conference on Information Systems and Computer Networks (ISCON) Pub Date : 2023-03-03 DOI: 10.1109/ISCON57294.2023.10111961

Sagar Singh, Shiva Tiwari, Pareshi Goel, Dimple Tiwari

{"title":"A Retrospective: Sightseeing Excursion of Threatened Miscarriage Pertaining Ensemble Machine Learning Algorithms","authors":"Sagar Singh, Shiva Tiwari, Pareshi Goel, Dimple Tiwari","doi":"10.1109/ISCON57294.2023.10111961","DOIUrl":"https://doi.org/10.1109/ISCON57294.2023.10111961","url":null,"abstract":"The manifested invention is associated with a miscarriage/stillbirth prediction using the ensemble learning methodology. The elementary data is congregated from various rural areas of 9 different states in India with 15258 rows and 201 columns. Further, data is processed to acquire useful features such as age, intake of tobacco, alcohol, smoking, diagnosis with any disease, awareness of danger, is currently pregnant, the outcome of the pregnancy and so forth. The outcome signifies that the proposed method has the capability of extracting the chances of miscarriage with preferable accuracy and classifying them in a fruitful way. This research includes the implementation of various machine learning algorithms namely Adaboost, Random forest, bagging, and boosting which are clubbed together by using a voting classifier to obtain accuracy, precision, recall and f1-score based on ensemble methods in order to generate precise results. Raising awareness of the concern which can emerge in pregnancy, and how to spot the symptoms, can help save lives. Therefore, this invention impetus mothers to maintain their health status on the behalf of data prediction set used.","PeriodicalId":280183,"journal":{"name":"2023 6th International Conference on Information Systems and Computer Networks (ISCON)","volume":"14 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":"123373552","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}

引用次数: 0