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Multi-attribute based prosumers prioritization for energy trading in Smart Grid 基于多属性的智能电网产消能源交易优先排序
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691544
N. N. Devi, Surmila Thokchom
{"title":"Multi-attribute based prosumers prioritization for energy trading in Smart Grid","authors":"N. N. Devi, Surmila Thokchom","doi":"10.1109/INDICON52576.2021.9691544","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691544","url":null,"abstract":"This paper proposes an energy trading model based on the priority value of consumers and producers in a smart grid (SG). The priority value of each of the participants (consumers and producers) is calculated using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) by considering their corresponding parameters like Energy Demand, Energy Surplus, and Bidding Prices. The energy trading method is done according to the calculated priority values. Further, the mathematical model is formulated to calculate the energy bill and the revenue for consumers and the producers, respectively. The proposed model provides consumers and producers to trade with the main grid if necessary. The analytical result proved that the proposed method reduced the energy bill by 28.84% and increased revenue by 66.752%, approximately. As a result, the proposed model motivates the participants to join in the process of energy trading.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132407023","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
Particle Swarm Optimization based Task Offloading in Vehicular Edge Computing 基于粒子群优化的车辆边缘计算任务卸载
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691758
Niharika Keshari, T. Gupta, Dinesh Singh
{"title":"Particle Swarm Optimization based Task Offloading in Vehicular Edge Computing","authors":"Niharika Keshari, T. Gupta, Dinesh Singh","doi":"10.1109/INDICON52576.2021.9691758","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691758","url":null,"abstract":"Recent development in the field of Internet-of-Things (IoT) enhancing various safety and non-safety services of Vehicular Ad-Hoc networks (VANET). These applications execute on cloud or Mobile Edge server (MES) due to resource restriction of IoT devices. MES is limited in-network because of higher installation costs. Hence, some applications are unable to get service within the deadline. To resolve this, a new evaluation has been introduced named Vehicular Edge Computing (VEC) which utilizes idle vehicles as an edge server to fulfill upcoming demands of IoT. The challenge in VEC is to offload the task to the appropriate vehicle according to available resources, position and speed in order to improve resource utilization and makespan. Hence in this paper, we have proposed an offloading mechanism that offloads tasks using Particle Swarm optimization (PSO). Here the PSO assigns the best fit task to the vehicle according to position and speed of the vehicle for completing the computation within time. Simulation using OMNET++, Veins, and Sumo, shows that the proposed PSO-based offloading improves makespan, resource utilization and offloading ratio around 28.1%, 17.43% and 47.75% compared to Branch and Bound offloading technique.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134460632","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: 5
Huffman Coding based ECG Processing For Compression-Distortion Tradeoff 基于霍夫曼编码的心电压缩失真权衡处理
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691675
Debarpan Bhattacharya
{"title":"Huffman Coding based ECG Processing For Compression-Distortion Tradeoff","authors":"Debarpan Bhattacharya","doi":"10.1109/INDICON52576.2021.9691675","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691675","url":null,"abstract":"ECG is a fundamental cardiac signal which finds rigorous use in diagnosis of several cardio-respiratory diseases. Therefore, compression techniques, that are associated with high distortion upon reconstruction, are not acceptable in maximum cases. In our proposed approach, a noble huffman coding based compression technique for ECG signal is proposed. It offers high compression ratio (CR) with minimal percentage mean square difference (PRD). Upon testing on MIT-BIH recordings, it exhibits maximum PRD of only 0.445% while offering CR of 5.914. Additionally, the algorithm offers flexibility to decrease PRD value at the cost of CR, obtained by tuning a single parameter. This makes the setup even appropriate for applications where CR is of uttermost importance, even with some accepted distortion.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131689069","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 Study of Kidney Exchange Problem and its Recent Challenges 肾脏交换问题及其近期挑战的研究
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691524
Sanjeev Kumar, Bhabendu Kumar Mohanta
{"title":"A Study of Kidney Exchange Problem and its Recent Challenges","authors":"Sanjeev Kumar, Bhabendu Kumar Mohanta","doi":"10.1109/INDICON52576.2021.9691524","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691524","url":null,"abstract":"A person whose both kidneys have been damaged can hardly survive. One early idea in this situation is to have kidneys from a deceased person. Further medical probe reveals that one healthy person whose two kidneys are functioning well can survive with only one kidney and thereby the fact is that the person who is healthy can donate one of the kidneys. This creates an interesting market with living donors and is very popular in many countries. However, a living donor can’t exchange his/her kidneys with the patient whose two kidneys have been damaged because of the medical issues. But, this type of donor may have a match with some other patient and this patient’s living donor can have a match with the former one. This situation can be modeled with house allocation problem where someone having a house(donor) has some other house as his/her preference (other donor) and vice versa. In this paper, a study is carried out in this direction and simultaneous kidney transplantation issue is simulated with largescale implementation. A current research challenge of the kidney exchange problem, namely the incentive issues of the hospitals, is explored next and a budget feasible mechanism is proposed.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133378620","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
Benchmarking Shallow and Deep Neural Networks for Contextual Representation of Social Data 对社会数据上下文表示的浅层和深层神经网络进行基准测试
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691551
Reshma Unnikrishnan, S. Sowmya Kamath, V. S. Ananthanarayana
{"title":"Benchmarking Shallow and Deep Neural Networks for Contextual Representation of Social Data","authors":"Reshma Unnikrishnan, S. Sowmya Kamath, V. S. Ananthanarayana","doi":"10.1109/INDICON52576.2021.9691551","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691551","url":null,"abstract":"Representing the underlying context in text data is a much-explored research domain, where language model construction for the sizeable unstructured corpus is the central premise. To date, several deep language embedding representation techniques have been put forth for context-aware modelling of text data, focusing on word, sentence and document-level representations for specific tasks. In this paper, we experiment with shallow and deep embedding representation techniques for social media text data to predict Atherosclerotic Heart Disease (AHD) mortality rate. We employed Word2Vec, Doc2Vec, and LSTM based embedding techniques for this experimentation and analyzed the performance on standard datasets. Experimental evaluation evidence suggests that Doc2Vec, a shallow network, outperforms deep neural networks by attaining a Pearson correlation value of 0.8199 for tuned hyper-parameters, exceeding Word2Vec and Bi-LSTM models by a margin of 60 per cent.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121215748","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: 3
Learning Safe Cooperative Policies in Autonomous Multi-UAV Navigation 自主多无人机导航安全合作策略学习
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691696
Arshdeep Singh, S. S. Jha
{"title":"Learning Safe Cooperative Policies in Autonomous Multi-UAV Navigation","authors":"Arshdeep Singh, S. S. Jha","doi":"10.1109/INDICON52576.2021.9691696","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691696","url":null,"abstract":"The deployment of multiple Unmanned Aerial Vehicles (UAV) in constrained environments has various challenges concerning trajectory optimization with the target(s) reachability and collisions. In this paper, we formulate multi-UAV navigation in constrained environments as a multi-agent learning problem. Further, we propose a reinforcement learning based Safe-MADDPG method to learn safe and cooperative multi-UAV navigation policies in a constrained environment. The safety constraints to handle inter-UAV collisions during navigation are modeled through action corrections of the learned autonomous navigation policies using an additional safety layer. We have implemented our proposed approach on the Webots Simulator and provided a detailed analysis of the proposed solution. The results demonstrate that the proposed Safe-MADDPG approach is effective in learning safe actions for multi-UAV navigation in constrained environments.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121885606","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: 2
FGMTL based Low Voltage Current Mode Squarer/Divider Circuit 基于FGMTL的低压电流模式平方/分频电路
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691572
Aakriti Chhabra, Bhawna Aggarwal, R. Senani
{"title":"FGMTL based Low Voltage Current Mode Squarer/Divider Circuit","authors":"Aakriti Chhabra, Bhawna Aggarwal, R. Senani","doi":"10.1109/INDICON52576.2021.9691572","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691572","url":null,"abstract":"A FGMTL (FGMOS Translinear) principle based current mode one quadrant squarer/divider circuit operating at low voltage in saturation region is presented. Squarer/divider is the key circuit which acts as a core building block for nonlinear signal processing functions. Low voltage square/divider can be constructed using FGMTL principle in place of MTL (MOS Translinear) principle in saturation. Multi-input nature of FGMOS transistor reduces the transistor’s threshold voltage which allows low voltage operation of the proposed circuit in saturation region. Proposed circuit is designed at a supply voltage of 0. 7V. It offers a bandwidth of 0. 5GHz when simulated in LTSPICE software using 0.18$mu$m CMOS technology. THD of 2.3% to 4.7% is obtained for the sinusoidal peak to peak input current range from 1$mu$A to 10$mu$A at a frequency of 1KHz.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122051573","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
Infant Mood Prediction and Emotion Classification with Different Intelligent Models 不同智能模型的婴儿情绪预测与情绪分类
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691601
Reuben Johann Rosen, Debadeepta Tagore, Tharun J. Iyer, N. Ruban, A. Raj
{"title":"Infant Mood Prediction and Emotion Classification with Different Intelligent Models","authors":"Reuben Johann Rosen, Debadeepta Tagore, Tharun J. Iyer, N. Ruban, A. Raj","doi":"10.1109/INDICON52576.2021.9691601","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691601","url":null,"abstract":"In this paper, we have analysed the cries of infants aged 0 to 6 months and have tried predicting emotions which might be a tool of communication. The present work carried out is mainly for analysing infant cries to predict emotions of hunger, discomfort, and belly pain. The system described here involves the Mel Frequency Cepstral Coefficients (MFCC) feature extraction technique and consecutive processing of various classification models such as Decision Tree, Random Forest, Support Vector Machine (SVM), and Logistic Regression. After comparing the results from all the mentioned classifiers, we have concluded that for an infant cry analysis, SVM and Random Forest Classification gives the most accurate output of 91%.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123335860","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: 2
Tree-Based Group Diffie-Hellman for subgroup communication in M2M networks M2M网络中基于树的分组Diffie-Hellman通信
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691617
Kousik Rajesh, Manoj Das, Sukumar Nandi
{"title":"Tree-Based Group Diffie-Hellman for subgroup communication in M2M networks","authors":"Kousik Rajesh, Manoj Das, Sukumar Nandi","doi":"10.1109/INDICON52576.2021.9691617","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691617","url":null,"abstract":"Machine to Machine (M2M) communication deals with exchanging messages between any large group of machines over a wired or wireless channel. Such systems are usually not actively monitored by people. M2M devices could be communicating sensitive data for applications such as healthcare and remote payment. So proper security protocols to prevent eavesdropping and tampering are of utmost importance. In addition to group communication, forming and communicating securely within subgroups could be necessary for specific M2M applications. This paper demonstrates the use of Tree-based Group Diffie-Hellman (TGDH) for secure encrypted communication in M2M networks and extends the functionality of TGDH using a swap operation. This operation facilitates the formation of subgroups and allows for peer-to-peer multicast communication within them. We show how the tree structure of TGDH allows for efficient addition, removal, and swapping of nodes in the network by comparing its performance with standard Group Diffie-Hellman (GDH) based encryption.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124793282","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
Impact of HARQ Retransmission on VoLTE Call Blocking in Cellular LTE 蜂窝LTE中HARQ重传对VoLTE呼叫阻塞的影响
2021 IEEE 18th India Council International Conference (INDICON) Pub Date : 2021-12-19 DOI: 10.1109/INDICON52576.2021.9691711
Mohan Kumar Dehury, H. K. Pati
{"title":"Impact of HARQ Retransmission on VoLTE Call Blocking in Cellular LTE","authors":"Mohan Kumar Dehury, H. K. Pati","doi":"10.1109/INDICON52576.2021.9691711","DOIUrl":"https://doi.org/10.1109/INDICON52576.2021.9691711","url":null,"abstract":"Voice over LTE (VoLTE) has been one of the main revenue generating service for Long Term Evolution (LTE) operators. Any error in the wireless communication systems may result in loss of voice packets leading to poor quality of transmission. To be able to handle errors in the communication system Third Generation Partnership Project (3GPP) has recommended the use of Hybrid Automatic Repeat reQuest (HARQ) scheme for reliable voice communication in an LTE network. However, to achieve reliability HARQ considers retransmission of packets that require more radio resources. This may affect the availability of radio resources due to which one of the network Quality of Service (QoS) measure that is call blocking may get affected. In this paper, we have used a Physical Resource Block (PRB) based Markov model to investigate the impact of HARQ retransmissions on VoLTE call blocking performance in a cellular LTE network.","PeriodicalId":106004,"journal":{"name":"2021 IEEE 18th India Council International Conference (INDICON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125063506","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
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