2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)最新文献

Modelling and Simulation of a Solar PV System: A Comprehensive Study 太阳能光伏系统的建模与仿真:综合研究

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051497

S. Goyal, Bhuwan Pratap Sungh, Abhishek Kumar, Prakash Kumar, A. Saraswat

{"title":"Modelling and Simulation of a Solar PV System: A Comprehensive Study","authors":"S. Goyal, Bhuwan Pratap Sungh, Abhishek Kumar, Prakash Kumar, A. Saraswat","doi":"10.1109/ICCAKM46823.2020.9051497","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051497","url":null,"abstract":"PV modules are used to directly convert solar energy into electrical energy. The essential input variables required for these modules are weather data such as solar irradiance and temperature. Output generated may be in the form of voltage, current or power which are necessary to plot and study the (P-V & I-V) characteristics of the PV modules. The outputs are immediately affected by any variation in the input variables and it is necessary to study the impacts of variation in physical data (input variables) on the power generated by the PV modules. Therefore, an accurate design of PV module is required before implementation in solar PVS. This paper presents a step-by-step designing of a PV module in detail. The configuration of PV cells considered in the design is single diode model-based consisting of series as well as parallel resistor for better accuracy. The model is step-by-step simulated and tested in MATLAB/Simulink. Behaviour of module in variable weather conditions such as solar irradiance and temperature has been studied and value of series and parallel resistance for optimum output have also been approximated.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115477833","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: 4

Clustering and Scheduling Tasks for Higher Utilization of Cloud Resources 集群和调度任务，提高云资源利用率

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051520

Vinay Chavan, Parag Ravikant Kaveri, Manish Peshkar, Kishor M. Dhole

引用次数: 0

Position Based Key Distribution Mechanism in Wireless Sensor Network 无线传感器网络中基于位置的密钥分配机制

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051461

Harikesh Pandey, Arjun Singh, A. Srivastava

引用次数: 0

Enhancing Privacy through “Smart Contract” using Blockchain-based Dynamic Access Control 使用基于区块链的动态访问控制，通过“智能合约”增强隐私

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051521

Richa Gupta, V. Shukla, Sindhu Suresh Rao, S. Anwar, Purushottam Sharma, R. Bathla

{"title":"Enhancing Privacy through “Smart Contract” using Blockchain-based Dynamic Access Control","authors":"Richa Gupta, V. Shukla, Sindhu Suresh Rao, S. Anwar, Purushottam Sharma, R. Bathla","doi":"10.1109/ICCAKM46823.2020.9051521","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051521","url":null,"abstract":"Blockchain helps to deliver Computerized working, on spot verification, cost efficiency, enhanced work. One of the fast initiatives for the implementation of Blockchain is taken by financial sector. As more than 60% of the market percent of the market value focuses on new technology. In the coming time, blockchain will start into influence into many domain including accountancy on it auxiliaries. Smart contract can play a very important role in banking and insurance. This can be very vital tool for the auditing purpose, because all transactions can be updated without any third party interference. All the accounting standards can be evaluated through blockchain systems thus giving professional accountants such as Chartered Accountants and Certified Public Accountants to focus more on the company policies and how it can improve its operations ethically. To access any resource in blockchain network. This paper presents a framework which use Fair access using Dynamic Access control. All process of fair access is recorded in smart contract and token allocation can be done with the help of Digital Signature. This makes system more perfect. For the very purpose of Blockchain intervening into accounting policies is to ensure that auditors are working to the potential in terms of verifying the accounts and financial records in accordance to the International Accounting Standards. This step hopes to minimize minimal frauds that might happen in the workplaces which could halt to the end of the business life as the privacy of smart contract can be enhanced.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132529112","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: 11

Methodology for the Development of an Ontology based E-Learning Platform 基于本体的电子学习平台开发方法

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051540

Monika Sharma, Supriya Lamba Sahdev, Gurinder Singh, Bhawna Kumar

引用次数: 4

A Conceptual Framework towards Continuous Transformation of Sustainable Food Manufacturing and Logistics 可持续食品生产和物流持续转型的概念框架

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051539

O. O. Ojo, Satya Shah

{"title":"A Conceptual Framework towards Continuous Transformation of Sustainable Food Manufacturing and Logistics","authors":"O. O. Ojo, Satya Shah","doi":"10.1109/ICCAKM46823.2020.9051539","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051539","url":null,"abstract":"Sustainable food manufacturing and logistics is becoming popular in the face of maintaining food security and keeping a good track with the sustainable development goal. Continuous transformation within most manufacturing sectors could be very useful in maintaining a good sustainability and competitive business environment of which the food manufacturing supply chain environment is not an exception. Sustainable food manufacturing could help reduce the negative environmental and social impact to the barest minimum as the economic situation is improved thereby contributing to the success of the set Sustainable Development Goals (SDGs). This study presents an overview of sustainable food manufacturing supply chain environment, Continuous Transformation of Food Manufacturing and Supply Chain, Sustainability Drivers within Food Manufacturing and Supply Chain Environment. The other part shows a methodology that proposes a conceptual framework from the literatures. This conceptual framework design comprises of steps that include Orientation and Commitment, Environmental and lifecycle impact assessment, Definition and implementation and, Measurement and communication. This proposed framework is expected to help in the continuous transformation within food manufacturing supply chain environment.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134633157","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

35.83% Efficient Non-Toxic Perovskite Solar Cell using Copper Iodide and Tin-oxide 35.83%高效无毒钙钛矿太阳能电池，使用的是碘化铜和氧化锡

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051498

Srishtee Chaudhary, R. Mehra

引用次数: 0

Addressing Challenges and Demands of Intelligent Seasonal Rainfall Forecasting using Artificial Intelligence Approach 利用人工智能方法解决季节性降雨智能预报的挑战和需求

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051516

M. Hatim, Ferhan Siddiqui, Rajeev Kumar

{"title":"Addressing Challenges and Demands of Intelligent Seasonal Rainfall Forecasting using Artificial Intelligence Approach","authors":"M. Hatim, Ferhan Siddiqui, Rajeev Kumar","doi":"10.1109/ICCAKM46823.2020.9051516","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051516","url":null,"abstract":"Precipitation forecasting is one of the most important and stimulating tasks in the modern world. Climate and precipitation are generally highly non-linear and complex phenomena that require advanced computer modeling and simulation for their accurate prediction. An artificial neural network (ANN) can be used to predict the behavior of such nonlinear systems. RNA has been successfully used by most researchers in this field over the past 25 years. This article examines the literature available on some of the methods used by various researchers to use the AN for precipitation forecasting. Weather forecasts have become an important research field in recent decades. In most cases, the researcher sought to establish a linear relationship between the meteorological data entered and the corresponding target data. However, with the discovery of non-linearity in the nature of meteorological data, the emphasis was placed on the non-linear forecast of meteorological data. The article examines the applicability of the ANN approach by developing efficient and reliable non-linear predictive models for meteorological analysis. Furthermore, they compare and evaluate the performance of the models developed with different transfer functions, hidden layers and neurons to predict the maximum temperature 365 days a year.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"538 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124529883","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 Models to Estimate the Sugarcane Brix Values from Multitemporal Vegetation Indices 基于时序植被指数估算甘蔗糖度的机器学习模型

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051545

S. Singla, R. Garg, O. Dubey

{"title":"Machine Learning Models to Estimate the Sugarcane Brix Values from Multitemporal Vegetation Indices","authors":"S. Singla, R. Garg, O. Dubey","doi":"10.1109/ICCAKM46823.2020.9051545","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051545","url":null,"abstract":"Remotely sensed data in combination with image processing and geoscience is essential to support decision making related to the crop productivity and assessment of the crop quality in terms of its growth. Continuous improvements in accuracy by eliminating all the radiometric and geometric errors, as well as the use of sophisticated statistical techniques goad to effective and optimized decision making. Although previous studies found mathematical relationships between final crop yield and different forms of spectral indices all around the world, few studies conducted in small areas. The relation of crop growth stages and sugarcane yield after applying the atmospheric and geometric corrections is also not considered by the researchers in the past. This study aims to estimate the sugar content of the sugarcane crop grown in a small area with machine learning models. The process based on correlation analysis to identify of the best periods for the reliable and efficient estimation of the crops is presented in this study. The study has been carried out in the Khedli Minor area near Bahadrabad District Haridwar Uttarakhand, which belongs to the Himalayan foothill region. The performance evaluation of the models has been analyzed using Mean Absolute Error and Root Mean Square Error (RMSE). The minimum value of RMSE =1.52 has been found with the cost parameter C=1 and Sigma = 0.1 for the Support Vector Regression (SVR) model. Compared with the other models, the SVR model exhibit better performances on Brix estimation based on the multitemporal vegetation indices. Although, this study exhibits some promising results in the yield estimation, a more generalized model can be developed with additional inputs from physical characteristics such as temperature, precipitation and soil moisture.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122017300","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

Performance Analysis of Physically Unclonable Function Based on Voltage Divider Arrays 基于分压器阵列的物理不可克隆函数性能分析

2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM) Pub Date : 2020-01-01 DOI: 10.1109/ICCAKM46823.2020.9051534

S. Chaudhary, Chitrakant Sahu

{"title":"Performance Analysis of Physically Unclonable Function Based on Voltage Divider Arrays","authors":"S. Chaudhary, Chitrakant Sahu","doi":"10.1109/ICCAKM46823.2020.9051534","DOIUrl":"https://doi.org/10.1109/ICCAKM46823.2020.9051534","url":null,"abstract":"A Physical Unclonable Function (PUF) is a chip-specific random function in which security primitives rely on the inherent randomness of integrated circuit fabrication. It can be used for chip authentication or identification and generation of the key. The most of the PUFs uses the delay to generate set of responses, however, because of linear separability of the response function it results in delay along circuit paths, hence, they are vulnerable to various kind of attacks. In this paper, a new physical Unclonable function is proposed that uses the concept of mismatch between MOSFETs arranged in a voltage divider configuration. All the transistors are subjected to stochastic variability, and they are operated in the subthreshold region. The random binary output is generated by comparing the analog voltages produced by identical arrays. The introduced PUF circuit is simulated using 45 nm Predictive Technology Models (PTM) in HSpice. The voltage divider array-based PUF demonstrates very good characteristics compare to its counterpart methods. The average inter-class HD (a measure of uniqueness) and average intra-class HD (a measure of response stability) are found to be 49.7% and 1.39% respectively.","PeriodicalId":136544,"journal":{"name":"2020 International Conference on Computation, Automation and Knowledge Management (ICCAKM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129735844","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