2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)最新文献_第2页

Green Logistics and E-commerce 绿色物流与电子商务

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131684

Aneesh Pradap, Zokhidabonu Alisherova

引用次数: 0

Network Intrusion Detection: A Study on Various Learning Approaches 网络入侵检测:多种学习方法的研究

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131701

Sapna Sadhwani, Avani Verma, R. Muthalagu, P. Pawar

{"title":"Network Intrusion Detection: A Study on Various Learning Approaches","authors":"Sapna Sadhwani, Avani Verma, R. Muthalagu, P. Pawar","doi":"10.1109/ICCIKE58312.2023.10131701","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131701","url":null,"abstract":"Internet of Things (IoT) is a comprehensive paradigm where millions of devices are connected to a network. These interconnected devices create a network of intelligent systems that exchange data without the need for any computer or human communication. The devices gather data that is important to humans and businesses. Standard high-end security solutions are ineffective for safeguarding an IoT system because IoT devices have limited storage and processing capability. Due to the proliferation of innovative attacks, network security is finding it difficult to identify breaches with good accuracy. As a result, it becomes necessary to provide smart security solutions that are portable, widely dispersed, and provide long term services. The monitoring of network traffic by an intrusion detection system (IDS), which protects against prospective intrusions and preserves the network's confidentiality, integrity, and availability, is one solution. However, IDS still has difficulties detecting intrusions and improving detection accuracy while lowering false alarm rates. When dealing with heterogeneous data of varied sizes, Machine Learning (ML) and Deep Learning (DL) have already demonstrated their importance. Many modern IDS are ML based models. In this paper, ML and DL learning models like Random Forest (RF), Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), XG Boost (XGB), Multi-Layer Perceptron (MLP), Gated Recurrent Unit (GRU) and Long Short-Term Memory (LSTM) are used and compared. The best algorithm amongst these is compared with the existing state-of-art models. The dataset used is UNSW-NB 15 Train set and Test set. The metrics used for comparison are Accuracy (Ac), Recall (Rc), Precision (Pr), F1 score, Mean Squared Error (MSE), training time, prediction time and total time. RF performs better than all other algorithms with Train Ac of 95.98% and Test Ac of 97.69%. It also outperforms the existing state-of-art models achieving the highest accuracy.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124681906","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

Economic Solution for Spatial Reconstruction Using LiDAR Technology in Forensic Sciences 在法医科学中使用激光雷达技术进行空间重建的经济解决方案

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131861

Shelvin John, S. Philip, Nrashant Singh, Parli B. Hari, Gursirat Singh Khokhar

{"title":"Economic Solution for Spatial Reconstruction Using LiDAR Technology in Forensic Sciences","authors":"Shelvin John, S. Philip, Nrashant Singh, Parli B. Hari, Gursirat Singh Khokhar","doi":"10.1109/ICCIKE58312.2023.10131861","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131861","url":null,"abstract":"Crime scene investigation (CSI) is a multidisciplinary process that includes a progressive and methodological search of the crime scene along with observation skills of the investigator who may use his/her logical and deductive reasoning to gain knowledge of the events surrounding the crime scene which can be processed by carefully acquiring and analyzing physical evidence which might help in detecting the cause or the culprit of the crime scene. Documentation is one of the most essential aspect of an investigation involving photography and videography. This process of documentation serves as a future reference for in-depth analysis of possible clues in the digital evidence, and reconstruction of the crime scene, and also serves as backup evidence in the courtrooms. Currently, 3D terrestrial laser scanners are used by experts for spatial analysis of a crime scene. Our research evaluates the use of canvas© 3D pocket scanner software for the 3D recording of a small-scale crime scene. This work brings the breakthrough of creating 3D models of crime scenes in a fast, easy, and economical way using LiDAR technology. This method is proved to be useful for the primary recreation of crime scene evidence collection.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130081268","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

A Robotics-Based Surveillance System for Livestock Wellbeing and Early Disease Detection in Poultry Farms 基于机器人的家畜健康监测系统和家禽农场疾病早期检测

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131735

K. Dsouza, Senthil Arumugam Muthukumaraswamy

{"title":"A Robotics-Based Surveillance System for Livestock Wellbeing and Early Disease Detection in Poultry Farms","authors":"K. Dsouza, Senthil Arumugam Muthukumaraswamy","doi":"10.1109/ICCIKE58312.2023.10131735","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131735","url":null,"abstract":"This paper presents a smart surveillance system using robotics for analysing the wellbeing of the livestock and early detection of disease in poultry farms. The current system often identifies infections too late, resulting in mass culling of flocks. The proposed solution is to use disease control through vaccination as an alternate approach. The proof of concept for this paper was implemented using the Raspberry Pi 4 along with Arduino UNOs, which was adapted to better suit the needs of the paper. The system was able to collect data from sensors measuring variables such as Ammonia, Carbon Dioxide, temperature, and humidity. The wellbeing of the chicken can be monitored through the environmental variables being sensed. Based on studies, deviations in these variables from the baseline can indicate the presence of disease. Some systems also listen to sounds to understand if illnesses are prevalent. The data will be passed through a series of conditions to determine the probability of infection within the farm. Experimental analyses through simulations were conducted with the mobile robot connected with sensors. Based on the significant deviation of sensor outputs from the benchmark values, the presence of disease in the livestock was detected in the early stages.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132375583","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

A light weight Deep Convolutional Neural network model for plant disease identification 植物病害识别的轻量级深度卷积神经网络模型

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131878

Anita Shrotriya, Akhilesh Kumar Sharma, N. Pradhan, Praveen Shukla

引用次数: 0

Effect of Body Image Perception on Flight Attendants’ Mental Health and Well-being 身体意象感知对空乘人员心理健康与幸福感的影响

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131754

Nagendra Singh Panwar, Jan Ardel Medel Arevalo, R. George, G. Malik

{"title":"Effect of Body Image Perception on Flight Attendants’ Mental Health and Well-being","authors":"Nagendra Singh Panwar, Jan Ardel Medel Arevalo, R. George, G. Malik","doi":"10.1109/ICCIKE58312.2023.10131754","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131754","url":null,"abstract":"As the popularity of travel and tourism significantly increasing in today’s world, the demand for customer facing jobs such as airlines scouting competitive flight attendants have also been surging in numbers. Together with this surge in demand, the competitiveness and appeal of flight attendants is crucially related to their physical appearance and outward attractiveness which dependent on individual perception of body image, may have positive or negative effect on flight attendants’ mental health and well-being. However, majority of current literature focuses only on the effects of the job to flight attendants themselves and limited research is conducted on the possible effects of body image perception. The study follows a secondary research method based on existing and current literature to examine the effects of body image perception on flight attendants’ well-being and mental health. Results of the study shows that positive body image perception results to the generation of positive emotions, increased self-confidence and risk-taking behavior, encourages actions of self-compassion and increase in job motivation and social skills while negative perception of body image results to poor social skills, instigates harmful body behavior, promotes body disturbance thoughts and distorted body image. This study helps to bring awareness on the importance of body image perception to flight attendants’ mental health and well-being and therefore help mitigate negative effects in the future","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466920","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

Detection of plantar pressure distribution in Type 2 Diabetes Mellitus using RGB modelling and foot scan report 应用RGB模型和足部扫描报告检测2型糖尿病患者足底压力分布

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131843

Mehewish Musheer Sheikh, Mamatha Balachandra, Narendra V G, A. Maiya

引用次数: 0

Critical Review of External Recorders in Film and Television Production 电影和电视制作中外部录像机的批判性评论

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131690

Akanksha Singh, Sambhram Pattanayak

{"title":"Critical Review of External Recorders in Film and Television Production","authors":"Akanksha Singh, Sambhram Pattanayak","doi":"10.1109/ICCIKE58312.2023.10131690","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131690","url":null,"abstract":"In today’s high-resolution display device era, capturing the finest detail accurately and precisely has become essential, especially in the film and television industry. This critical review examines external recorders’ use to facilitate high-quality captures and recordings during the video production workflow. The review discusses the benefits of using external recorders, including higher quality recordings, longer recording times, larger storage capacity, improved color accuracy, and improved monitoring. The ability to record uncompressed or lightly compressed video in higher-quality formats allows for more detail and fewer compression artifacts in the final product. However, the review also notes that external recorders can add to a production’s overall cost and complexity. External recorders often require additional cables, batteries, and mounting accessories, which can add to the weight and size of the camera rig. The review concludes that while external recorders provide several benefits regarding video quality and flexibility in post-production, the decision to use them should be made based on each production’s specific needs and budget. Previewing footage on a larger external monitor can also help filmmakers identify issues such as focus and exposure before recording.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"52-54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116772755","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

Ebbs and Flows of E-Commerce and M-Commerce in Fashion Business: Digital Markets and Mobility 电子商务和移动商务在时尚行业的兴衰:数字市场和移动性

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131724

Divya Nayak, Richa Gupta, A. Bhardwaj

{"title":"Ebbs and Flows of E-Commerce and M-Commerce in Fashion Business: Digital Markets and Mobility","authors":"Divya Nayak, Richa Gupta, A. Bhardwaj","doi":"10.1109/ICCIKE58312.2023.10131724","DOIUrl":"https://doi.org/10.1109/ICCIKE58312.2023.10131724","url":null,"abstract":"Fashion market has always been considered luxurious and has always been in the top in terms of quality and price. It is for those, who have a considerable amount of disposable income to spear, and are willing to pay higher prices for products in comparison to the average consumer market. According to existing data, it has been recorded that the luxury market accounts for the most consumer consumption in the fashion category, as many have the aspirational value of owning something that is high fashion. The purpose of this study is to comprehend the factors that have the potential to sustain online shopping. Survey method has been used to see the consumer behavior towards startup fashion brands. Although this had been the pattern for many years, there has been a considerable change in the consumer behavior towards luxury goods over the past year, due to the impact of COVID-19. This virus has not only impacted and harmed the livelihoods of the people, but has also affected the economy gravely. This resulted in many businesses being shut down as well as many employees being laid-off. Major business suffered for the few initial months as well. Amidst all of this, small business found it very hard to thrive, especially startups. The findings state that there is a shift from brick & mortar concept to digital platforms. This is shown with the percentage, Bar graphs and pie charts. They either shut down or tried to save their business by some means. Keeping in mind the changes that occurred in the consumer patterns towards fashion in the earlier stages of this pandemic and for startup fashion businesses to have opened up its doors, this paper discusses the opportunities gained and challenges faced by startup fashion brands during COVID-19. This research recommends to gather more into digital marketing, E-Commerce and M-Commerce, as they are the new platforms and the future of shopping.","PeriodicalId":164690,"journal":{"name":"2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131553256","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

Energy based Machine Learning Spectrum Sensing in 5G Cognitive Radios 5G认知无线电中基于能量的机器学习频谱感知

2023 International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Pub Date : 2023-03-09 DOI: 10.1109/ICCIKE58312.2023.10131872

M. Muzaffar, Rula Sharqi

引用次数: 0