2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)最新文献_第10页

Photovoltaic power forecasting based on Elman Neural Network software engineering method 基于Elman神经网络的光伏发电功率预测软件工程方法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8343021

Idris Khan, Honglu Zhu, Jianxi Yao, Danish Khan

引用次数: 25

Applying H-index within 5-year citations window 在5年引文窗口内应用h指数

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8343051

Chuanqi Wang, Yanhui Li

引用次数: 0

A self-adaptation framework for dealing with the complexities of software changes 用于处理软件变更复杂性的自适应框架

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8342969

Jiewen Wan, Qingshan Li, Lu Wang, Liu He, Yvjie Li

引用次数: 3

Why Kad's routing table has hundreds of peers 为什么Kad的路由表有数百个节点

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8343003

Qiang Li, Hui Li, Zhongling Wen, Pengfei Yuan

引用次数: 0

An approach to classify flue-cured tobacco leaves using deep convolutional neural networks 基于深度卷积神经网络的烤烟烟叶分类方法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8343058

Somesh Katta, M. Babu

{"title":"An approach to classify flue-cured tobacco leaves using deep convolutional neural networks","authors":"Somesh Katta, M. Babu","doi":"10.1109/ICSESS.2017.8343058","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8343058","url":null,"abstract":"Convolutional Neural Network (CNN) is a Multi-Layer Perceptron Neural Network (MLP), specially designed for classification and identification of image data. MLPs are very useful but very slow for learning image features. Even for small images MLPs takes a lot of time to learn the features. On contrary, Convnets detects the features locally and propagate them to the neighboring layer so that the learning process is easier and efficient. Image reduction is a process normally used to reduce the number of learning parameters. The present paper is aimed at designing a new technique to convolve the input image, using Deep CNN algorithm and then reduce the image dimension by pooling techniques. The new technique is applied for image classification of flue-cured tobacco leaves. About 120 samples of cured tobacco leaves are taken for training the CNN and reduced the image dimensions from 1450×1680 to 256×256 RGB. Here four hidden layer CNN is considered and performed convolution and pooling on input images with sixteen, thirty two and sixty four feature kernels on first three hidden layers and fourth layer is connected to output layer. Max pooling technique is used in the model and classified them into three major classes' class-1, class-2 and class-3 with a global efficiency of 85.10% on the test set consisting about fifteen images of each group. Results from the proposed model are compared with other existing models and shown that the model performs better even with small training set.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125043767","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

A template matching algorithm for high precision positioning 高精度定位的模板匹配算法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8343011

Wei Hu, Bo Wang

引用次数: 2

A correct method based on retinex for the solar image with uneven illumination 光照不均匀太阳像的一种基于视点的正确方法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8342902

Hongjuan Yang, Kaifan Ji, Yunfei Yang, W. Duan, H. Deng, Bo Liang

引用次数: 0

Utilizing cluster quality in hierarchical clustering for analogy-based software effort estimation 利用分层聚类中的聚类质量进行基于类比的软件工作量估计

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8342851

Jack H. C. Wu, J. Keung

{"title":"Utilizing cluster quality in hierarchical clustering for analogy-based software effort estimation","authors":"Jack H. C. Wu, J. Keung","doi":"10.1109/ICSESS.2017.8342851","DOIUrl":"https://doi.org/10.1109/ICSESS.2017.8342851","url":null,"abstract":"Analogy-based software effort estimation is one of the most popular estimation methods. It is built upon the principle of case-based reasoning (CBR) based on the k-th similar projects completed in the past. Therefore the determination of the k value is crucial to the prediction performance. Various research have been carried out to use a single and fixed k value for experiments, and it is known that dynamically allocated k values in an experiment will produce the optimized performance. This paper proposes an interesting technique based on hierarchical clustering to produce a range for k through various cluster quality criteria. We find that complete linkage clustering is more suitable for large datasets while single linkage clustering is suitable for small datasets. The method searches for optimized k values based on the proposed heuristic optimization technique, which have the advantages of easy computation and optimized for the dataset being investigated. Datasets from the PROMISE repository have been used to evaluate the proposed technique. The results of the experiments show that the proposed method is able to determine an optimized set of k values for analogy-based prediction, and to give estimates that outperformed traditional models based on a fixed k value. The implication is significant in that the analogy-based model will be optimized according the dataset being used, without the need to ask an expert to determining a single, fixed k value.","PeriodicalId":179815,"journal":{"name":"2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719829","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

The virtual maintenance process modeling method for performance assessment 性能评估的虚拟维修过程建模方法

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8342973

Pang Jiazhen, Li Na, Hou Xiaohui

引用次数: 1

A face tracking framework based on convolutional neural networks and Kalman filter 基于卷积神经网络和卡尔曼滤波的人脸跟踪框架

2017 8th IEEE International Conference on Software Engineering and Service Science (ICSESS) Pub Date : 2017-11-01 DOI: 10.1109/ICSESS.2017.8342943

Zihan Ren, Shuangyuan Yang, F. Zou, Fan Yang, Chaoyang Luan, Kai Li

引用次数: 13