Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference最新文献

Wireless Network Enabled Rice Black Bug Traps with Meteorological Wind Sensory System and Intelligent Trap Distance Detection using IoT Technology 具有气象风感系统的无线网络稻黑虫诱捕器和使用物联网技术的智能诱捕器距离检测

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380683

Dennis A. Martillano, Berlin M. Alforja, T. Benjamin, Juan Miguel E. De Ramos, Antonio Jan M. Wong

{"title":"Wireless Network Enabled Rice Black Bug Traps with Meteorological Wind Sensory System and Intelligent Trap Distance Detection using IoT Technology","authors":"Dennis A. Martillano, Berlin M. Alforja, T. Benjamin, Juan Miguel E. De Ramos, Antonio Jan M. Wong","doi":"10.1145/3380678.3380683","DOIUrl":"https://doi.org/10.1145/3380678.3380683","url":null,"abstract":"Rice black bug is one of the most difficult pest to manage. Massive infestations of the rice black bugs were recorded across the world including the Philippines, devastating thousands of hectares of rice field and agricultural lands. In a local communal rice field in the Philippines, farmers are using light trap in adjacent rice fields to control infestation as alternative to pesticides. According to the farmers, having multiple traps in the rice field can help in having better rice black bug catch index. Researches suggests that multiple light traps should have proper distance from each other to avoid light interference for proper bug attraction. However, it is known in the studies that increases in light-trap catches have also been shown to be associated with changes in wind direction especially for weak flier insects including Rice Black Bug This study aims to develop a system with two (2) wirelessly networked portable light traps that can be deployed in a vast rice field area. Light traps communicate with each other by identifying the proper distance, and constantly checks the wind direction that will allow farmers to relocate the traps in the rice field for better catch. A mobile application was developed to monitor distance, wind direction, and black bug catch that notifies farmers of suggestions to properly locate or place the light trap in the rice field. Actual tests were performed in a communal rice field during on-set and off-set of full moon cycle. Results show better patterns of rice black bug catch when traps were place in proper distance and facing the right wind direction.","PeriodicalId":287890,"journal":{"name":"Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121660470","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

Pacloud Pacloud

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380685

Olivier Bal-Pétré, Pierre Varlez, Fernando Pérez-Téllez

引用次数: 0

An IoT Architecture for Smart Rice Monitoring 智能大米监控的物联网架构

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380684

Pattama Charoenporn

引用次数: 0

The PCA Algorithm in Digital Holographic Microscopy under Structured Illumination 结构照明下数字全息显微镜的PCA算法

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380687

Da Yin, Jun Ma, Caojin Yuan

{"title":"The PCA Algorithm in Digital Holographic Microscopy under Structured Illumination","authors":"Da Yin, Jun Ma, Caojin Yuan","doi":"10.1145/3380678.3380687","DOIUrl":"https://doi.org/10.1145/3380678.3380687","url":null,"abstract":"Principal component analysis (PCA) is a method of processing high-dimensional feature data, which can be decomposed into a set of unrelated variables called principal components. Digital holographic microscopy (DHM) is a powerful tool in the biomedical imaging for recording the amplitude and phase information of object simultaneously. Structured illumination (SI) has been introduced in DHM to improve the resolution, by which the resolution can be doubled. However, accurate phase-shifting is required to retrieve the low and high frequency information. Besides that, the aberration of imaging system makes DHM under SI cumbersome. This paper presents an algorithm based on PCA for DHM under SI. The aberration terms can be extracted from the first principal component of the exponential term of filtered hologram. Moreover, the low and high frequency information can be achieved from three images without prior knowledge of phase shift values. In synthesizing process, the spectrums are precisely shifted to the correct position in the spatial-frequency domain also based on the PCA. This paper verifies the feasibility of the PCA algorithm the experiment. It is an attractive and promising technology for DHM under SI.","PeriodicalId":287890,"journal":{"name":"Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference","volume":"2020 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126463293","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 IaaS Cost Model and Estimation Results for Cloud PC Laboratory Service 云PC实验室服务的实时IaaS成本模型与估算结果

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380686

Kyungwoon Cho, H. Bahn

引用次数: 1

Applying System Dynamics to Model Advanced Persistent Threats 应用系统动力学建模高级持续威胁

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380682

Mathew Nicho, H. Fakhry

{"title":"Applying System Dynamics to Model Advanced Persistent Threats","authors":"Mathew Nicho, H. Fakhry","doi":"10.1145/3380678.3380682","DOIUrl":"https://doi.org/10.1145/3380678.3380682","url":null,"abstract":"System dynamics (SD) concept has been successfully applied to analyze issues that are non-linear, complex, and dynamic in disciplines namely social sciences and technology. However, its application to cyber security issues especially threats that involves multiple variables interacting with the technical as well as the organizational domain is lacking. In this respect, Advanced Persistent Threat (APT) is regarded as a highly targeted and sophisticated attack using zero-day malware, stealth, and multiple advanced techniques to gain entry and maintain its presence inside organizational network unnoticed. Being a threat that exploits technical as well as organizational vulnerabilities, preventing it at the security perimeter and, detecting it once it enters the system is a challenge till date. To demonstrate the application of SD in identifying and analyzing the effect of each of the variables, we took the Equinox data breach as a case study. The variables leading to the breach were identified, entered into Vensim software and simulated to get the results. Through this exercise, we could identify seven key independent management variables for the technical security and three key independent variables for records breach. This research being the foremost study to apply SD to APT, we presume that by modelling APT attacks using SD through a case study this paper, thus provides insights into the dynamics of the threat. Furthermore, it suggests 'what if' strategies to minimize APT risks thereby reduce the extent of damages should an APT attack occur.","PeriodicalId":287890,"journal":{"name":"Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115541410","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 Analysis of different Task Scheduling Algorithms in Cloud Computing under Dynamic Environment 动态环境下云计算中不同任务调度算法的性能分析

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380679

Neeraj Arora, R. K. Banyal

引用次数: 1

Transforming Control-Flow Patterns of YAWL to Petri Nets 将YAWL控制流模式转化为Petri网

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380681

Sith Terayawan, W. Vatanawood

引用次数: 1

A Short-term ECG Signal Classification Method Based on Residual Network and Bi-directional LSTM 基于残差网络和双向LSTM的短期心电信号分类方法

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 2019-10-08 DOI: 10.1145/3380678.3380680

Xiaochun Wu, Xin’an Wang, Jieru Ma, Qiuping Li, Tianxia Zhao

引用次数: 3

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference 2019国际通信工程与云计算会议论文集

Proceedings of the 2019 International Communication Engineering and Cloud Computing Conference Pub Date : 1900-01-01 DOI: 10.1145/3380678

引用次数: 0