Proceedings of the 2nd International Conference on Communication and Information Processing最新文献_第3页

Training & education expenditures as an intelligent predicator for enterprise services in Taiwan 培训教育支出作为台湾企业服务的智能预测指标

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018020

Tzu-Chiang Chiang, Rung-Peng Hun, Chun-Yi Lu

引用次数: 0

Approach on random weighted deep neural learning model for electricity customer classification 随机加权深度神经学习模型在电力客户分类中的应用

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018041

Gang Xu, Yuanpeng Tan, Yu Zhang, Pengxiang Gao

{"title":"Approach on random weighted deep neural learning model for electricity customer classification","authors":"Gang Xu, Yuanpeng Tan, Yu Zhang, Pengxiang Gao","doi":"10.1145/3018009.3018041","DOIUrl":"https://doi.org/10.1145/3018009.3018041","url":null,"abstract":"With the increase of electrical sensors and smart meters installed in distribution networks, the consumption load data of local electricity customers gradually shows its following properties: large scale, big variety, fast generation and low value density. These properties have brought new challenges to load pattern analysis and pattern classification, since traditional methods and technologies cannot be able to meet the current performance requirements of pattern classification on both of the classification accuracy and time consuming. In this paper, facing electricity consumption load data, a novel electricity customer classification method is proposed based on random weighted deep neural learning. In this proposed method, the effective feature information of electricity consumption load data is extracted by training multi-layer auto-associative random weight neural networks with a small size central layer. Then, by combining the well-trained feature information and basic load feature indexes, single-layer neural network is employed to fulfill the electricity customer classification tasks of test samples. Comparative experimental results verified the outstanding performances of our proposed method.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124713498","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

Real-time pedestrian recognition at night based on far infrared image sensor 基于远红外图像传感器的夜间实时行人识别

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018036

Eunjin Choi, Wanjae Lee, Kanghoon Lee, Jaekwang Kim, Jinhak Kim

引用次数: 3

A 3.75Gb/s CML output driver with configurable pre-emphasis in 65nm CMOS technology 3.75Gb/s CML输出驱动器，采用65nm CMOS技术，可配置前置重点

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018048

Yong Fu, Zhiping Wen, Lei Chen

引用次数: 1

Testing and analysis of the proposed data driven method on the opportunity human activity dataset 在机会人类活动数据集上对提出的数据驱动方法进行测试和分析

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018011

Pouya Foudeh, A. Khorshidtalab, N. Salim

{"title":"Testing and analysis of the proposed data driven method on the opportunity human activity dataset","authors":"Pouya Foudeh, A. Khorshidtalab, N. Salim","doi":"10.1145/3018009.3018011","DOIUrl":"https://doi.org/10.1145/3018009.3018011","url":null,"abstract":"This paper proposes a data-driven method for constructing materials to be used in a probabilistic knowledge base for human activity recognition. The utilized dataset, challenge subset of Opportunity, is a publicly available dataset. It consists of a set of daily activities, which has been manually labeled as modes of locomotion and gestures. We applied several methods to extract proper features from sensors on bodies of subjects, then, chosen features are fed into two different classifiers. Finally, predicted labels for modes of locomotion and hand gestures are calculated. To evaluate the method, the recognition rates are benchmarked against the results of the competitors who have participated in Opportunity challenge as well as the baseline results provided by the Opportunity group. For modes of locomotion, our results surpass all of the available results and in some cases the recognition rate of our model is very close to the highest recognition rate. For gestures, regular or noisy data, in some cases our method is still higher than baseline or challenge participants but unlike locomotion, it is not capable to beat them all.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121236584","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

Calculating different weights in feature values in logistic regression 逻辑回归中特征值的不同权重计算

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018017

Chang-Hwan Lee

引用次数: 0

Training method for vehicle detection 车辆检测训练方法

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018034

M. Kang, Y. Lim

引用次数: 0

Image hashing by LoG-QCSLBP 用LoG-QCSLBP对图像进行哈希

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018051

V. Patil, T. Sarode

{"title":"Image hashing by LoG-QCSLBP","authors":"V. Patil, T. Sarode","doi":"10.1145/3018009.3018051","DOIUrl":"https://doi.org/10.1145/3018009.3018051","url":null,"abstract":"This paper presents an image hashing algorithm for authentication and tampering based on texture features. Center Symmetric Local Binary Pattern (CSLBP) feature is computationally simple, rotation invariant which works in spatial domain. In CSLBP, number of histogram bin for each sub block of an image is 16, unlike 256 bin in Local Binary Pattern (LBP). In our proposed method, flipped difference is used to generate a histogram of only 8 bin, for each sub block. Resultant method with 8 bin histogram has less discrimination power. To enhance discrimination power, Laplacian of Gaussian (LoG) is used as a weight factor during histogram construction. LoG is used to find a characteristic scale for a given image location. LoG is a second order derivative edge detection operator which performs well in presence of noise. In our previous papers, we tried various local descriptors like magnitude of difference, standard deviation, coefficient correlation as a weight factor, to enhance the success rate of compressed CSLBP. Proposed LoG-QCSLBP gives good results for JPEG, salt & pepper noise, brightness plus, increase/decrease contrast. In the results section, we compared all variants of compressed CSLBP. Results clearly show that by incorporating the weight of a local descriptor, discrimination power of compressed CSLBP is enhanced.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122969407","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

Performance evaluation study of data retrieval in data warehouse environment 数据仓库环境下数据检索的性能评价研究

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018056

N. Alhammad, Y. Taha

{"title":"Performance evaluation study of data retrieval in data warehouse environment","authors":"N. Alhammad, Y. Taha","doi":"10.1145/3018009.3018056","DOIUrl":"https://doi.org/10.1145/3018009.3018056","url":null,"abstract":"In recent years, data warehouse (DW) systems have become more important for decision making processes. This was due to the fact that they are capable of enhancing the value of an organization. DW used for storing large amount of data and making it available for decision makers and business analyst to make queries, analysis and planning without considering data changes in the operational database. In general, these quires are complex and consist of join operations and complex functions such as group by and order by which make execution takes so long. In addition, most of the information requests include dynamic ad hoc queries, which mean submitting any question at any time that might be run on very large data volumes. These could lead to have long running queries which causes server and application to run slowly and lack the accessibility where the ability to execute queries quickly and efficiently is a critical issue. As a result, one of the most important requirements of data warehouse server that should be considered is query performance. The purpose of this paper is to improve data warehouse performance by enhancing query response time. After an intensive review of previous studies and literature, techniques to improve data warehouse performance have been proposed.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128105526","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

Computer aid assessment of muscular imbalance for preventing overuse injuries in athletes 防止运动员过度使用损伤的肌肉不平衡计算机辅助评估

Proceedings of the 2nd International Conference on Communication and Information Processing Pub Date : 2016-11-26 DOI: 10.1145/3018009.3018023

M. Weerasinghe, D. Sandaruwan, Aruni Nisansala, N. Kodikara, A. Dharmaratne, C. Keppitiyagama

{"title":"Computer aid assessment of muscular imbalance for preventing overuse injuries in athletes","authors":"M. Weerasinghe, D. Sandaruwan, Aruni Nisansala, N. Kodikara, A. Dharmaratne, C. Keppitiyagama","doi":"10.1145/3018009.3018023","DOIUrl":"https://doi.org/10.1145/3018009.3018023","url":null,"abstract":"Practicing and playing a sport causes athletes' bodies to adapt to the movements they regularly perform. Unfortunately, this can cause muscle imbalances, which might impair performance or worse, cause an injury. It is always best to find the root cause of a muscle imbalance, and to make a precise effort to fix it. Muscle imbalance shouldn't be taken lightly-it could create bigger problems, from posture to spinal positioning, which can ultimately lead to issues in walking, sitting and even lying down, as time progresses. However, muscle imbalances can't be easily evaluated using X-rays, CT scans, or other high-tech devices. But it's possible to address the problem in other ways. In general, the \"strong\" muscle is measured against the \"weaker\" muscle. Using the infrared (IR) camera, Kinect can recognize users and track their skeletons in the field of view of the sensor. Kinect sensor can locate the joints of the tracked users in space and track their movements over time. This allows Kinect sensor to recognize people (postures) and follow their actions (movements). Hence, the primary aim of this research is to investigate patterns of muscle imbalance among athletes and evaluate those patterns based on the posture, balance, gait and movement variations using Kinect sensor. Ideally the expected outcome of this research would be a physically meaningful & robust method to identify the muscle imbalance of an athlete.","PeriodicalId":189252,"journal":{"name":"Proceedings of the 2nd International Conference on Communication and Information Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131109725","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