2019 International Conference on Emerging Trends in Science and Engineering (ICESE)最新文献_第3页

Reducing Power in Content-Addressable Memory by pseudo nMOS Cell 利用伪nMOS单元降低内容可寻址存储器的功耗

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194694

N.Naveen Kumar, K.Suresh Kumar, R.Manasa Reddy

引用次数: 1

Reducing the Sensing Errors by Adopting the Effective Matched Filter Threshold Estimation in Lower SNR Conditions 在低信噪比条件下采用有效匹配滤波器阈值估计减小感知误差

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194668

N.Manisha Reddy, P. Poojitha, M.Ajay Kumar, K. Ramya

引用次数: 2

A Homomorphic verifiable Group Signature Mechanism for Shared Cloud Data 共享云数据的同态可验证群签名机制

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194635

P. Reddy, A.Swetha Priva

{"title":"A Homomorphic verifiable Group Signature Mechanism for Shared Cloud Data","authors":"P. Reddy, A.Swetha Priva","doi":"10.1109/ICESE46178.2019.9194635","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194635","url":null,"abstract":"Nowadays, cloud storages will become one of the important service that which allows employees to be more flexible with data in their work practices. The reliability of public cloud is weak to hardware, software or human mistakes. To make certain the reliability of the shared information, a few techniques were planned to permit public verifiers to efficaciously audit information integrity with protecting customer's information. Unlikely, community audit going on the reliability of collective information may also display records proprietors' vital data to the third party assessor. Here, we suggest a new Privacy-Aware Public Auditing system designed for shared cloud facts through building a similar demonstrable institution signature. Dissimilar the accessible answers, our plan require as a minimum grouping managers to get better a trace key considerately eliminates misuse of single-authority influence there by presents non frame ability. Furthermore, our plan guarantees that group customers can hint facts adjustments thru certain binary tree and can get better modern day correct facts block when the information block is broken. In addition, the protection evaluation and experimental analysis suggest that our scheme is protected and competent.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125491758","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

Multilevel Pipelined Processing for Aerial Image Restoration 航空图像恢复的多级流水线处理

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194619

V. Prasad, P. Kumar, S. Bachu

{"title":"Multilevel Pipelined Processing for Aerial Image Restoration","authors":"V. Prasad, P. Kumar, S. Bachu","doi":"10.1109/ICESE46178.2019.9194619","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194619","url":null,"abstract":"Aerial images can get distorted due to various factors. During the acquisition of the images, it may get corrupted by distinct types of noises, camera misalignment etc. The restoration of degraded images has been a very important factor in the fields of medical, surveillance etc. Many algorithms in image processing do exist to restore degraded images but the efficiency of those in restoring the images is less. In this work, the aerial images are processed through various stages such as color stabilization, saturation enrichment and contrast improvement. In color stabilization, the color intensities (green, red, and blue) are globally adjusted. In saturation enrichment, to increase the saturation of an input aerial image, color of each pixel is projected onto bisectors of an green, red and blue color cube. And in contrast improvement, it is used to enrich the image quality by using the principle of unsharp masking. Real world aerial images were used to obtain the restored images. This work is verified for various input aerial images and the obtained restored images are verified qualitatively and quantitatively.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125560624","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

Analysis on FFT and DWT Transformations in Image Processing 图像处理中FFT和DWT变换的分析

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194662

G. Susrutha, K. Mallikarjun, M. A. Kumar, M. Ashok

引用次数: 2

A Secure Verification Item Requesting Technique by way of Adopting Paillier Encryption Algorithm 采用Paillier加密算法的安全验证项请求技术

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194691

L. Priyanka, P. Vijay Kumar, K. Jyothsna Reddy

{"title":"A Secure Verification Item Requesting Technique by way of Adopting Paillier Encryption Algorithm","authors":"L. Priyanka, P. Vijay Kumar, K. Jyothsna Reddy","doi":"10.1109/ICESE46178.2019.9194691","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194691","url":null,"abstract":"A defended exploration strategies over encrypted cloud statistics permit an authorized consumer to query records files of interest with the aid of using filing encrypted query key phrases to the cloud server in a privateness-retaining manner. However, in exercise, the lower again query effects can also moreover furthermore be incorrect or incomplete inside the dishonest cloud environment. For instance, the cloud server also can intentionally miss a few certified consequences to computing sources and conversation overhead. Thus, a first-class-functional defended query framework want to provide a question results verification mechanism that lets in the statistics user to confirm consequences. On this paper, we construct a included, successfully unified, and notable-grained query effects authentication framework, by means of which, given an encrypted query outcomes set, the query character not most effective can affirm the correctness of every information document inside the set however can also similarly take a look at how many or which certified records documents aren't rebound if the set is incomplete earlier than decryption. The verification scheme is unfastened-coupling to concrete at ease are attempting to find techniques and may be very consequences easily included into any relaxed query scheme. We obtain the intention thru building defended verification item for encrypted cloud facts. Furthermore, a quick signature technique with extensively small garage charge is planned to guarantee the authenticity of verification object and a verification item request technique is offered to allow the question consumer to securely achive the favored verification item performance evaluation shows that the planned schemes are feasible and adequate.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134561145","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

Utilization of Data Mining Methods to Investigate Crop Yield Forecast 利用数据挖掘方法研究作物产量预测

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194693

P. Srinivas, P. Santhuja

{"title":"Utilization of Data Mining Methods to Investigate Crop Yield Forecast","authors":"P. Srinivas, P. Santhuja","doi":"10.1109/ICESE46178.2019.9194693","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194693","url":null,"abstract":"Environmental vary and the shrink of accessible farming area are two of the mainly significant elements that influence worldwide food production particularly as far as wheat stores. A regularly expanding total population puts an immense interest on these assets. Thusly, there is a critical need to improve sustenance creation. This examination investigates another methodology in the manner analyses are done. This is done through the presentation of new strategies for examinations, for example, data mining and online analytical process in the approach. Also, this study endeavours to give a superior comprehension of the impacts of both steady variety factors, for example, soil type, precipitation and temperature on the crop yields. The study activities exposed that crop yield was mainly reliant upon precipitation and temperature. Also, it demonstrated that precipitation consistently influenced the temperature and soil type because of the moisture maintenance of yield developing areas. Outcome from the regression analyses, demonstrated that the statistical forecast of crop yields from past data, might be upgraded by data mining methods.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126015623","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

Stratification of Parkinson Disease using python scikit-learn ML library 使用python scikit-learn ML库进行帕金森病分层

2019 International Conference on Emerging Trends in Science and Engineering (ICESE) Pub Date : 2019-09-01 DOI: 10.1109/ICESE46178.2019.9194627

A. Kolte, B. Mahitha, N. Raju

{"title":"Stratification of Parkinson Disease using python scikit-learn ML library","authors":"A. Kolte, B. Mahitha, N. Raju","doi":"10.1109/ICESE46178.2019.9194627","DOIUrl":"https://doi.org/10.1109/ICESE46178.2019.9194627","url":null,"abstract":"Parkinson's disease is a disorder in the central nervous system which affects in the movement functions of the body. It is a chronic disease with the symptoms growing with time. It generally affects the older people when their symptoms gradually increase to a maximum. The disease can affect the basic functions of the body such as hearing, walking, talking etc. The analysis of this disease can be done with the help of generic machine learning algorithms which produce varying accuracies. Thus, the best one is chosen which will provide the highest accuracy in predicting if the disease is present in the patient or not. The dataset is taken from the UCI machine learning repository namely-Parkinson disease dataset with replicated acoustic features. There are 48 features present in the dataset pertaining to the disease for 240 patients. Various machine learning techniques that are utilized compared their efficiency in the classification. Thus, the best one is chosen with the highest accuracy since the applications in healthcare generally requires more accuracy and efficiencies cannot be compromised. The significant models that are used in this process are naaive bayes classifier, gradient boosting, support vector machines. These techniques can be very powerful for the doctors in order to predict the disease by analysing the features present in the patients.","PeriodicalId":137459,"journal":{"name":"2019 International Conference on Emerging Trends in Science and Engineering (ICESE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114223825","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