2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)最新文献_第3页

Smart Trucks: An IoT-based Novel Approach for Smart and Effective Waste Management System 智能卡车:基于物联网的智能有效废物管理系统的新方法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119341

Prachi Singh, A. Bajpai

引用次数: 2

Increase in TCP Throughput using Shortest Path Routing Algorithm in Mininet 在Mininet中使用最短路径路由算法提高TCP吞吐量

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119452

Deepak Kumar, J. Thakur

{"title":"Increase in TCP Throughput using Shortest Path Routing Algorithm in Mininet","authors":"Deepak Kumar, J. Thakur","doi":"10.1109/IATMSI56455.2022.10119452","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119452","url":null,"abstract":"SDN is a novel networking paradigm that can programmatically control, monitor, and modify the behavior of routing devices. SDN supports NFV architecture and therefore can build secure, scalable, and reliable networks. To emulate this research mininet is required to create an SDN environment with inbuilt hosts, switches, controllers, and links among them. This paper aims to improve TCP throughput in an SDN environment by implementing a short-path routing algorithm. In this implementation, a comparison has been made between two case studies: Case study 1 (Host h1 and h2 connected to a single switch), and Case study 2 (Host h2 and h8 connected to separate switches) to see their effect on TCP throughput. This research work is novel because it uses the shortest path routing script following the RYU controller and custom-built tree topology. The two main tools used in this research are openvswitch and iperf 3. This study examines how network throughput can be improved. SDN has become imperative for emerging technologies as its architecture support is suitable for 5G, IoT, VANETs, Blockchain, and networking industries. Incorporating it with other technologies makes it even more intriguing. In recent years, most work has been performed in the areas of security, traffic classification, load balancing, routing optimization, and scalability.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131079674","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

Correlation of 99mTc-MAG3 Renogram Imaging Paramaters for Renal Hydronphrotic Cases 99mTc-MAG3肾图影像学参数与肾水肿的相关性研究

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119429

Pradnya N. Gokhale, B. R. Patil

{"title":"Correlation of 99mTc-MAG3 Renogram Imaging Paramaters for Renal Hydronphrotic Cases","authors":"Pradnya N. Gokhale, B. R. Patil","doi":"10.1109/IATMSI56455.2022.10119429","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119429","url":null,"abstract":"Kidney obstruction exists acutely due to calculi, blood clots, tumors etc. leading to several renal colic with symptoms of flank pain, nausea, vomiting, and fever. Diuretic renal imaging is a safe procedure for the assessment of renal functioning and difference between nonobstructive and obstructive reasons of renal or ureteral enlargement. Radiotracer 99mTc-MAG3 is chosen for pediatric patients with reduced function and supposed renal blockade, due to its added efficient extraction. The radiotracer 99mTc-MAG3 excretion is greatly associated with the effective renal plasma flow (ERPF). Renal radio tracer transit activity period is needed in identification of renal obstruction stages which is associated with terms like renal hydronephrosis, Pelvic-ureteric Junction i.e. PUJ obstruction, pyeloplasty procedures etc. For measuring renal radio tracer transit period, radiotracer like DTPA/MAG3 etc. doesn't affect as all passed from the kidney through the urine flow. Valuations of renal function are beneficial in recognizing the presence of renal infection, observing the response of kidneys to medicines, and determining the growth of renal disease. 99mTc-MAG3 scan supports to discriminate PUJ obstruction from multicystic kidney and regulate the level of kidney blockade. The key objective of this research study was to define correlation among renogram parameters maximum peak time $(mathbf{T}_{mathbf{MAX}})$, half of peak time $(mathbf{T}_{mathbf{1}/mathbf{2}})$ and ERPF with 99mTc-MAG3 static as well as dynamic renal nuclear scintigraphy. For this project, the belongings of age, gender, whole renal system and stages of obstruction levels of 46 subjects were included and found evident correlations between renal measuring function parameters representing occurrences of pelvic hydronephrosis i.e. renal obstruction in left and/or right kidneys.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133158320","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

Design of PWM Predictive Controller for SPMSM Drive 永磁同步电动机驱动PWM预测控制器的设计

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119344

Tushar U. Nimbalkar, S. Jadhav

{"title":"Design of PWM Predictive Controller for SPMSM Drive","authors":"Tushar U. Nimbalkar, S. Jadhav","doi":"10.1109/IATMSI56455.2022.10119344","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119344","url":null,"abstract":"Permanent Magnet Synchronous Motor (PMSM) replaced Induction motor in various industrial applications. This is due to its higher efficiency and torque to inertia ratio. Also, PMSM has a compact size and lower maintenance requirements. Vector control is a successful technique for controlling PMSM because it offers maximum torque per current. To regulate two decoupled current components, The motor model needs to be transformed in a stationary reference frame. Hence the correct information of rotor position is required for smooth drive operation. Since encode based drives are costly and complicated nowadays observer-based drives are preferred which is generally termed as sensorless control. Amongst the advanced observer technique, the predictive control-based observer seems to be more effective in the modern drive application. The information obtained from the current loop is used to form an error function which works as an objective function to observe the speed of the motor. Vector controlled PMSM drive has two loops, the outer one is a speed control loop, and the inner is a current loop. The PI controller of the current loop is replaced by PWM Predictive Control in the current loop. The platform used for this is MATLAB /SIMULINK.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127822101","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

Hot and Warm Region Segmentation of Breast Thermogram for Fractal Analysis based Cancer Detection 基于分形分析的乳腺热像热温区分割

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119451

Navya Venkatswamy, Mownika Thimmaraju, Nayana B M, S. R, Vivek Singh, A. K. Dwivedi

{"title":"Hot and Warm Region Segmentation of Breast Thermogram for Fractal Analysis based Cancer Detection","authors":"Navya Venkatswamy, Mownika Thimmaraju, Nayana B M, S. R, Vivek Singh, A. K. Dwivedi","doi":"10.1109/IATMSI56455.2022.10119451","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119451","url":null,"abstract":"One of the most chronic cancers among women is breast cancer. Accurate early detection of breast cancer may significantly lower the death rate of the condition. An infrared breast thermogram, a screening approach for a mammography, is applied in the latest study to determine the temperature distribution of breast tissue. Breast thermography has a significant advantage, including the fact that it is non-invasive, safe, and painless. To detect tumours, colour segmentation of infrared thermal images is essential. The temperature patterns of cancerous tissues differ from those of healthy tissues due to increased metabolic activity and angiogenesis. As a result of the fact that harmful breast tumours are hotter than benign or even healthy breast tumours. In this paper, K-means clustering is used for segmentation of the hot and warm regions of the suspected breast areas which provides an accurate temperature difference. Clusters are produced in MATLAB using this technique. Additionally, the influence of IR camera sensitivity on the number of segmentation clusters is examined. When using an ultrasensitive camera, the number of clusters evaluated may be enhanced. In this study, the prime objective is to analyze the segmented breast thermograms and by computing the fractal dimension for both hot and warm regions by using a unique technique as the Triangular Prism Surface Area method which helps in identifying malignancy and the significance of using thermal and fractal features in comparing thermograms of malignant and healthy female subjects.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131663640","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 Non-Content based Optimized Approach for Image Spam Detection 一种非内容的图像垃圾检测优化方法

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119397

Anuraj Singh, Anurag Srivastava, Evi Agarwal

引用次数: 0

Subcarrier Selection and User Matching Technique for Downlink NOMA System 下行NOMA系统的子载波选择与用户匹配技术

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119358

Shanmugavel G, Vasanthi M S

{"title":"Subcarrier Selection and User Matching Technique for Downlink NOMA System","authors":"Shanmugavel G, Vasanthi M S","doi":"10.1109/IATMSI56455.2022.10119358","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119358","url":null,"abstract":"As a method for bettering resource allocation, Non-Orthogonal Multiple Access (NOMA) is a feature of 5G radio access. By Power domain NOMA users onto the transmission of power with the same time and spectrum resources, NOMA improves spectrum efficiency. In order to boost the downlink NOMA system's spectral efficiency, fairness, and weak user data rate, a subcarrier selection and user matching technique (SSUMT) has been proposed. This SSUMT uses the low gain subcarrier first based adaptive user selection (LGSF-AUS) algorithm. The LGSF-AUS algorithm works on the selection of the available subcarriers based on the least gain user and then pairs the users to provide the service by the subcarrier. One strong and one weak user are selected with respect to their channel gain value and these two users are paired for assigning to the subcarrier. The power allocation of the selected users is based on their power coefficients, weak users assigning more power and less power is assigned to strong user. This LGSF-AUS algorithm enhances the data rate of the weak users, so the spectral efficiency and fairness among the users is significantly improved in comparison with other existing methods.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114314110","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 optimization in multiple sensors based WSN 基于多传感器的WSN能量优化

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119386

Abhishek Jain, Dennis Kumar M, Nair Amarnath, Allan A Crown, Somnath Sinha

{"title":"Energy optimization in multiple sensors based WSN","authors":"Abhishek Jain, Dennis Kumar M, Nair Amarnath, Allan A Crown, Somnath Sinha","doi":"10.1109/IATMSI56455.2022.10119386","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119386","url":null,"abstract":"WSNs are the cornerstone of continuous environmental observation, which introduces sensory tunnels and necessitates constant adjustability in order to gather and transmit meteorological information to the base station. Interest in low-power (WSN) wireless networks has increased as a result of the development of the Internet of Things (IoT). These networks are utilized for tasks including data gathering, process monitoring, and independent work management in a number of industries, such as the military, transportation, and health care. When wireless nerves in wireless neural networks are powered by batteries, their health and performance deteriorate. By using energy from the vicinity of the sensor to power the device, it is feasible to increase the sensor's lifespan while still achieving environmental performance. The expense of replacing batteries is drastically reduced by the use of energy harvesters in environmental field structures that power sensory hubs less frequently. Familiarity with the data collected and setting the start and end power thus charging the battery automatically when power reaches the limit value.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114592998","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: 1

Technology Driven Tourism: A PLS SEM Model of its Antecedents in Tourist Behavior Intention 科技驱动旅游:游客行为意愿前因的PLS - SEM模型

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119265

S. Rajput, Ekta Jain, Aashish Mehra, K. S. Thakur, Omdeep Gupta, Pankaj Singh

引用次数: 0

A Stack-based Ensemble Model with Explainability for Food Demand Forecasting 粮食需求预测的可解释性堆栈集成模型

2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) Pub Date : 2022-12-21 DOI: 10.1109/IATMSI56455.2022.10119320

Sujoy Chatterjee

{"title":"A Stack-based Ensemble Model with Explainability for Food Demand Forecasting","authors":"Sujoy Chatterjee","doi":"10.1109/IATMSI56455.2022.10119320","DOIUrl":"https://doi.org/10.1109/IATMSI56455.2022.10119320","url":null,"abstract":"Ahstract- The demand forecasting method involves estimating the number of products that customers will buy using previous data. Many industries, including the food sector and retail, employ this prediction exercise. Prediction is essential in restaurants since the majority of fundamental products have a limited shelf life. Demands are influenced by a variety of overt and covert circumstances, including season, area, and others. In this study, machine learning uses multiple data sources, like internal and external data, to forecast the supply of various goods based on demand. Although various machine learning models have already been applied to predicting demand, very limited work has been performed to explain the black-box nature of the model. In this work, an attempt is made to explain the interpretability of the model. Here, we first present the food demand prediction problem as a regression problem and then apply various machine learning models to predict the demand for food. After that, a stacked-based ensemble model is employed to address various concerns coming from the base models, achieving better prediction. Finally, the interpretability is resolved to utilize effective learning techniques like Local Interpretable Model-agnostic Explanations (LIME).","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715433","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