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International Journal of Distributed Systems and Technologies最新文献

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BROADBAND RECTANGULAR HORN ANTENNA WITH DIELECTRIC LENS FOR POINT-TO-POINT WIRELESS COMMUNICATION 用于点对点无线通信的带介电透镜的宽带矩形喇叭天线
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.32782/2521-6643-2022.2-64.5
{"title":"BROADBAND RECTANGULAR HORN ANTENNA WITH DIELECTRIC LENS FOR POINT-TO-POINT WIRELESS COMMUNICATION","authors":"","doi":"10.32782/2521-6643-2022.2-64.5","DOIUrl":"https://doi.org/10.32782/2521-6643-2022.2-64.5","url":null,"abstract":"","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"21 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83293344","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
TO THE PROBLEM OF MODELING THE AERODYNAMICS OF SURFACE TRANSPORTATION VEHICLES 对地面交通工具空气动力学建模问题进行了研究
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.32782/2521-6643-2022.2-64.1
{"title":"TO THE PROBLEM OF MODELING THE AERODYNAMICS OF SURFACE TRANSPORTATION VEHICLES","authors":"","doi":"10.32782/2521-6643-2022.2-64.1","DOIUrl":"https://doi.org/10.32782/2521-6643-2022.2-64.1","url":null,"abstract":"","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"417 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79468439","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
ABOUT THE STRATEGY OF IMPRESSING ENEMY UAVS 关于击溃敌机的策略
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.32782/2521-6643-2022.2-64.2
{"title":"ABOUT THE STRATEGY OF IMPRESSING ENEMY UAVS","authors":"","doi":"10.32782/2521-6643-2022.2-64.2","DOIUrl":"https://doi.org/10.32782/2521-6643-2022.2-64.2","url":null,"abstract":"","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"30 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73884591","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
THE STUDY OF THE CROSS-BORDER TRANSPORTATION OF GRAIN CARGO BY ROAD AND RAIL 粮食货物公路与铁路跨境运输研究
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.32782/2521-6643-2022.2-64.3
V. V. Didusenko, M. A. Kravchenko, M. A. Zolotarov, H. Prokhorchenko
{"title":"THE STUDY OF THE CROSS-BORDER TRANSPORTATION OF GRAIN CARGO BY ROAD AND RAIL","authors":"V. V. Didusenko, M. A. Kravchenko, M. A. Zolotarov, H. Prokhorchenko","doi":"10.32782/2521-6643-2022.2-64.3","DOIUrl":"https://doi.org/10.32782/2521-6643-2022.2-64.3","url":null,"abstract":"","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"104 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80465900","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
Optimization-Assisting Dual-Step Clustering of Time Series Data 时间序列数据的优化辅助双步聚类
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.4018/ijdst.313632
Tallapelli Rajesh, M. Seetha
{"title":"Optimization-Assisting Dual-Step Clustering of Time Series Data","authors":"Tallapelli Rajesh, M. Seetha","doi":"10.4018/ijdst.313632","DOIUrl":"https://doi.org/10.4018/ijdst.313632","url":null,"abstract":"This paper aims to propose a new time series data clustering with the following steps: (1) data reduction and (2) clustering. The main objective of the time series data clustering is to minimize the dataset size via a prototype defined for same time series data in every group that significantly reduced the complexities. Initially, the time series dataset in the data reduction step is subjected to preprocessing process. Further, in the proposed probability based distance measure evaluation, the time series data is grouped into subclusters. In the clustering step, the proposed shape based similarity measure is performed. Moreover, the clustering process is carried out by optimized k-mean clustering in which the center point is optimally tuned by a new customized whale optimization algorithm (CWOA). At last, the performance of the adopted model is computed to other traditional models with respect to various measures such as sensitivity, accuracy, FPR, conentropy, precision, FNR, specificity, MCC, entropy, F-measure, and Rand index, respectively.","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43708474","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
CURRENT STATE AND DEVELOPMENT PROSPECTS OF THE HOTEL INDUSTRY OF UKRAINE 乌克兰酒店业的现状及发展前景
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.32782/2521-6643-2022.2-64.8
{"title":"CURRENT STATE AND DEVELOPMENT PROSPECTS OF THE HOTEL INDUSTRY OF UKRAINE","authors":"","doi":"10.32782/2521-6643-2022.2-64.8","DOIUrl":"https://doi.org/10.32782/2521-6643-2022.2-64.8","url":null,"abstract":"","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"24 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84675566","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
Plant Disease Detection Using Sequential Convolutional Neural Network 基于序列卷积神经网络的植物病害检测
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.4018/ijdst.303672
Anshul Tripathi, Uday Chourasia, P. Dixit, Victor I. Chang
{"title":"Plant Disease Detection Using Sequential Convolutional Neural Network","authors":"Anshul Tripathi, Uday Chourasia, P. Dixit, Victor I. Chang","doi":"10.4018/ijdst.303672","DOIUrl":"https://doi.org/10.4018/ijdst.303672","url":null,"abstract":"The main warning in the area of food preservation and care is on topmost are crop diseases. It has been recognized speedily, but it is not as easy as in any area of the world because no required framework exists. Both the healthy and diseased plant leaves were gathered and collected under the condition and circumstances. For this purpose, a public set of information was used. It was 20,639 images of plants that were infected and healthy. In order to recognize three different crops and 12 diseases, a sequential convolutional neural network from Keras was trained and applied. The perfection and exactness was 98.18 % onset of information of the above trained mentioned model using CNN . It has also indicated the probability and possibility of this strategy and procedure. The over-fitting occurs and neutralizes by putting the dropout value to 0.25.","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44116747","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
Analyzing the Impact of Machine Learning on Cancer Treatments 分析机器学习对癌症治疗的影响
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.4018/ijdst.304429
Victor Chang, Gunji Srilikhita, Qi Xu, M. A. Hossain, M. Guizani
{"title":"Analyzing the Impact of Machine Learning on Cancer Treatments","authors":"Victor Chang, Gunji Srilikhita, Qi Xu, M. A. Hossain, M. Guizani","doi":"10.4018/ijdst.304429","DOIUrl":"https://doi.org/10.4018/ijdst.304429","url":null,"abstract":"The survival rate of breast cancer prediction has been a significant issue for researchers. Nowadays, the health care industry has completely transformed by using modern technologies and their applications for medical services. Among those technologies, machine learning is one of them, which has gained attention by people that its new advanced technology would give accurate results by using modeling methods for prediction. As this is a branch of artificial intelligence, it employs various statics, probabilistic and optimistic tools. This is applied to medical services, especially which are based on proteomic and genomic measurements. The aim is to use the dataset of cancer treatment and predict the results of patients by using machine learning with its modeling methods for accurate results. Recently experts have even used this machine learning in cancer for prognosis and forecasting.","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":" ","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45529946","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
Moving Target Detection Using Fuzzy Bayesian Fusion in Multichannel SAR Framework 基于模糊贝叶斯融合的多通道SAR运动目标检测
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2022-01-01 DOI: 10.4018/ijdst.300355
B. M., R. P
{"title":"Moving Target Detection Using Fuzzy Bayesian Fusion in Multichannel SAR Framework","authors":"B. M., R. P","doi":"10.4018/ijdst.300355","DOIUrl":"https://doi.org/10.4018/ijdst.300355","url":null,"abstract":"In this paper, a novel FBF-MTD is proposed for the detection of moving target by integrating the fuzzy concept in Bayesian fusion model. This method uses the decision fusion method that combines the matching filter, Fourier transform and the STFT. In the first step, acceleration, velocity, and RCS are simulated and the radar that returns from the target is calculated based on transmission power, distance of target, antenna gain, and RCS. Then, the FBF-MTD method combines the results of Fourier transform, short time Fourier transform, and matched filter, to produce the final decision. The performance of the proposed FBF-MTD method is analyzed with respect to the metrics, namely detection time, missed target rate, and MSE. The proposed FBF-MTD model obtained the detection time, missed target rate, and MSE values of 3.2495 sec, 0.0524, and 3344.04, respectively that show the superiority of the FBF-MTD model in MTD.","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"95 1","pages":""},"PeriodicalIF":1.1,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80942466","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
Early Conflict Checking in Two-Phase Commit Protocol for Replicated State Machines 复制状态机两阶段提交协议中的早期冲突检查
IF 1.1
International Journal of Distributed Systems and Technologies Pub Date : 2021-10-01 DOI: 10.4018/ijdst.287861
Halit Uyanık, T. Ovatman
{"title":"Early Conflict Checking in Two-Phase Commit Protocol for Replicated State Machines","authors":"Halit Uyanık, T. Ovatman","doi":"10.4018/ijdst.287861","DOIUrl":"https://doi.org/10.4018/ijdst.287861","url":null,"abstract":"Representing an algorithmic workflow as a state machine is a frequently used technique in distributed systems. Replicating a state machine in a fault tolerant way is one of the main application areas under this context. When implementing a replicated state machine, a crucial problem is to maintain consistency among replicas that might handle various different requests arriving at each different replica. This problem requires maintaining a single consistent ordering of the distributed requests handled separately by replicas. Basic consensus protocols such as two phase commit (2PC), can be used to maintain consistency between replicas whenever a request is to be processed. In this study we modify 2PC protocol to take advantage of basic properties of a state machine and detect possible write conflicts earlier. Our experiments on distributed cloud environments show that our modified 2PC protocol increases the throughput and decrease wasted write operations by a significant amount.","PeriodicalId":43267,"journal":{"name":"International Journal of Distributed Systems and Technologies","volume":"12 1","pages":"1-20"},"PeriodicalIF":1.1,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70455376","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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