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2017 21st International Computer Science and Engineering Conference (ICSEC)最新文献

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Faster Line of Sight Computation and Faster Viewshed Generation 更快的视线计算和更快的视域生成
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443797
Subin Shrestha, S. Panday
{"title":"Faster Line of Sight Computation and Faster Viewshed Generation","authors":"Subin Shrestha, S. Panday","doi":"10.1109/ICSEC.2017.8443797","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443797","url":null,"abstract":"The R3 Viewshed Algorithm is widely used in the Geographic Information System (GIS) industry as it generates an accurate viewshed. But, this algorithm is computationally slow as each and every point of all intermediate profile lines are tested for their visibility. Other available algorithms, although faster, only provide an approximation of the viewshed. So, an accurate viewshed algorithm whose computational speed is faster is imperative. In this regard, a faster and accurate viewshed algorithm based on faster Line-Of-Sight (LOS) computation has been devised and implemented in this paper. The improvement is based on computation of LOS which separates the shadow regions whose visibility does not need to be tested. This significantly reduces the number of intermediate points for visibility analysis thus making the computation faster. Experimental tests were carried over the geographic database of 48,000 sq. km which included terrains varying from 58 m to 8,000 m. The obtained results have shown an average improvement of 24% in the overall viewshed computation.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"53 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":"130014474","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
Towards a Conceptual Reasoning in Performing Pedagogical Activities for STEM Disciplines STEM学科教学活动的概念推理
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443924
Preecha Tangworakitthaworn
{"title":"Towards a Conceptual Reasoning in Performing Pedagogical Activities for STEM Disciplines","authors":"Preecha Tangworakitthaworn","doi":"10.1109/ICSEC.2017.8443924","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443924","url":null,"abstract":"Conceptual understanding and reasoning play crucial role in academic disciplines of science, technology, engineering, and mathematics (STEM). This paper addresses the design of conceptual understanding and reasoning in pedagogical activities used for supporting self-regulated learning in STEM education. The idea and approach have been proposed and the preliminary investigation of the students' satisfaction to apply conceptualization in learning has been discussed. The proposed approach has potential for improving pedagogical activities across STEM disciplines.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"76 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":"129308236","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
AdaBoost Algorithm with Random Forests for Plant and Animal Precursor MicroRNAs Classification AdaBoost随机森林算法在动植物前体microrna分类中的应用
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443873
Songtham Anuntakarun, Warin Wattanapornprom, Supatcha Lertampaiporn
{"title":"AdaBoost Algorithm with Random Forests for Plant and Animal Precursor MicroRNAs Classification","authors":"Songtham Anuntakarun, Warin Wattanapornprom, Supatcha Lertampaiporn","doi":"10.1109/ICSEC.2017.8443873","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443873","url":null,"abstract":"Recently, there have been many reports about miRNAs which have played important regulatory roles. There are differences in control mechanism pathways between plant and animal miRNAs. It is hypothesized that these differences may originate from differences in the characteristics of precursor miRNA structures between animals and plants. This work proposes a combination of AdaBoost and random forests in order to discriminate between plant and animal precursor miRNAs. Many features related to the precursor miRNAs characteristics from many literatures were collected and filtered. Seven classification models were compared, including naïve bayes, neural network, k-nearest neighbor, decision tree, support vector machine, random forests and Adaboost random forests. Based on independent test sets, the results showed that the combination of the Adaboost and the random forests model achieved the highest accuracy of 85% in discriminating animals and plants.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"73 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":"131493331","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
Improving Multi-Swarm by Slightly Mutation Particle and GBEST of Stuck Swarm Along with Randomly Selecting GBEST of Other Swarm 在随机选择其他群体GBEST的基础上，利用微突变粒子和粘滞群体的GBEST改进多群体
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443869
Kanokporn Chengkhuntod, B. Kruatrachue, K. Siriboon
{"title":"Improving Multi-Swarm by Slightly Mutation Particle and GBEST of Stuck Swarm Along with Randomly Selecting GBEST of Other Swarm","authors":"Kanokporn Chengkhuntod, B. Kruatrachue, K. Siriboon","doi":"10.1109/ICSEC.2017.8443869","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443869","url":null,"abstract":"This paper proposed another approach in handling trapping in local optimum problem of Particle Swarm Optimization (PSO) using multi-swarm. Since each swarm might trap in different local optimum, the trapped swarm restart with slightly mutation (15% of each particle attributes) along with swaying swarm by randomly use of other swarm GBEST position. In the case of all swarm trapping in the same location, the trap GBEST is also slightly mutate in the same way as particle position. This proposed technique is tested on a set of twenty-four benchmark test functions. The experimental results show that the proposed method is better than other comparing methods.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"49 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":"132542433","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
Stock Selection by Using an Improved Quick Artificial Bee Colony Algorithm 基于改进快速人工蜂群算法的股票选择
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443878
Dit Suthiwong, M. Sodanil, G. Quirchmayr, H. Unger
{"title":"Stock Selection by Using an Improved Quick Artificial Bee Colony Algorithm","authors":"Dit Suthiwong, M. Sodanil, G. Quirchmayr, H. Unger","doi":"10.1109/ICSEC.2017.8443878","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443878","url":null,"abstract":"Computation Intelligence have inspired many researchers to develop the capability of computer to learn and solve the complex task in real-world problems. In this work, we proposed a Artificial Bee Colony (ABC) to deal with the Stock Selection problem. We apply a Sigmoid-based Discrete-Continuous with ABC to select appropriate features for stock scoring. The empirical study tests the performance of ABC compare with Genetic Algorithm (GA) and Differential Evolution (DE) algorithm by using data from the Stock Exchange Thailand. The empirical results show that the novel model stock selection significantly outperforms in terms of both investment return, diversity and model robustness.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"63 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":"133299482","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
Designing and Implementation Exploration Vehicle Remote Controller Using APRS Protocol 基于APRS协议的探测车远程控制器设计与实现
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443845
Nimit Hongyim, S. Mithata
{"title":"Designing and Implementation Exploration Vehicle Remote Controller Using APRS Protocol","authors":"Nimit Hongyim, S. Mithata","doi":"10.1109/ICSEC.2017.8443845","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443845","url":null,"abstract":"The main purposed of this research paper was for implementation of APRS (Automatic Position Report System) Protocol in use with remote controller for controlling Exploration Vehicle where cannot be reached by the conventional wireless network. The research experiment expected result on success communicate between point to point distances over 10Km","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"423 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":"132582392","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: 3
The Complexity of the Infinity Replacement Problem in the Cyber Security Model 网络安全模型中无穷替换问题的复杂性
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443870
Supachai Mukdasanit, Sanpawat Kantabutra
{"title":"The Complexity of the Infinity Replacement Problem in the Cyber Security Model","authors":"Supachai Mukdasanit, Sanpawat Kantabutra","doi":"10.1109/ICSEC.2017.8443870","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443870","url":null,"abstract":"In this article we present a new defensive problem on a security system. Let M be a security model (T, C,P), where T= (V, E) is a rooted tree rooted at r,C is a multiset of E(T) costs and P is a multiset of V(T)-1 prizes and let (T, c,p) be a security system, where c and p are bijections c: E(T) C and p: V(T) r P, respectively. Given a budget BZ+, we consider the problem of determining the existence of an edge e E(T), where c(e)=i such that the maximum total of prizes obtained from an optimal attack in the security system (T, c,p) is minimum when i is replaced by ∞. We define the decision and optimization versions of the problem and examine their computational complexities. We prove that the decision problem is NP-hard and provide a pseudopolynomial time algorithm for the optimization version of the problem. Additionally, we show that some restricted instances can be solved in polynomial time. In the end conclusion and an example of the application of the algorithm are given.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"30 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":"124753263","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: 3
Corn Disease Identification from Leaf Images Using Convolutional Neural Networks 基于卷积神经网络的玉米叶片病害识别
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443919
Pichayoot Ouppaphan
{"title":"Corn Disease Identification from Leaf Images Using Convolutional Neural Networks","authors":"Pichayoot Ouppaphan","doi":"10.1109/ICSEC.2017.8443919","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443919","url":null,"abstract":"Plant diseases are one of the major factors that can negatively impact crop yields. Therefore, we want to create an automated system that can identify plant diseases as easily as possible. Our research goal is to help crop growers who might not be experts in plant pathology be able to identify diseases as soon as they occur in order to minimize the spread of disease and the damage to the crops. We propose a very light-weight convolutional neural network architecture that is trained to classify images of corn leaves into one of the four categories: common rust disease, northern leaf blight disease, gray leaf spot disease, or healthy. The dataset used is the PlantVillage dataset taken from plantvillage.org. The dataset consists of 8506 images of corn leaves from 4 categories. We evaluated our model using 5-fold cross-validation, and we achieves an accuracy of 97.09 % on average. The result of our model is slightly worse than the performance of other well-known CNNs architectures, but the complexity of our architecture is much lower, making it more suitable for real-time inferences on resource-constrained devices such as smartphones.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"1 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":"129053334","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: 18
Analysis of Indoor Channel Propagation Characteristics in Multifloored Building at 2.4 GHz 2.4 GHz多层建筑室内信道传播特性分析
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443891
Saw Mon Yee Aung, M. M. Maw
{"title":"Analysis of Indoor Channel Propagation Characteristics in Multifloored Building at 2.4 GHz","authors":"Saw Mon Yee Aung, M. M. Maw","doi":"10.1109/ICSEC.2017.8443891","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443891","url":null,"abstract":"The indoor propagation model is playing an important role in the design and layout of the indoor wireless networks. In this paper, a statistical approach has been developed to take into account the variability in the different locations of the transmitter to analyze the path loss values through the walls based on the existing multiwall and multifloor model with the Fresnel Transmission Coefficient. The important statistical parameters such as mean, standard deviation and cumulative distribution function of the multifloored building with the operating frequency at 2.4 GHz are investigated by using the experimental path loss through multiple floors and walls of the multifloored building. The mean and standard deviation values are different due to the layout of the corridors and the standard deviation values are also changed. The mean values through two floors are between 111 and 118 and the standard deviation values are between 3 and 5. The mean values through two floors are more than the mean values through one floor and same floor based on the path loss values when the number of the floors between the transmitter and receiver are increased.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"332 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":"122843898","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
Hybrid Node Development for Distributed Agriculture Service System in Beijing-Tianjin-Hebei Urbanization Region 京津冀城市化地区分布式农业服务系统的混合节点开发
2017 21st International Computer Science and Engineering Conference (ICSEC) Pub Date : 2017-11-01 DOI: 10.1109/ICSEC.2017.8443941
Wang Xue-fen, Yang Yi, Zheng Tao, Zhang Jing-wen, Muhammad Sohail Sardar
{"title":"Hybrid Node Development for Distributed Agriculture Service System in Beijing-Tianjin-Hebei Urbanization Region","authors":"Wang Xue-fen, Yang Yi, Zheng Tao, Zhang Jing-wen, Muhammad Sohail Sardar","doi":"10.1109/ICSEC.2017.8443941","DOIUrl":"https://doi.org/10.1109/ICSEC.2017.8443941","url":null,"abstract":"Aiming at the demand of distributed agriculture service in Beijing-Tianjin-Hebei (BTH) urbanization region, a smartphone based hybrid wireless sensor network node is presented. The designs of node hardware and corresponding smartphone App are discussed. The node can support the function of the traditional agriculture monitoring and device control by terminal/host configuration. The tourists and farmer can also access in-field node directly for distributed services by. In the test, the node has shown high reliability. Through the distributed services provided by the nodes, the user experience can be improved effectively. The node is expected to be candidate to provide the corresponding technical support for the future distributed agricultural service in BTH new-style urbanization.","PeriodicalId":111111,"journal":{"name":"2017 21st International Computer Science and Engineering Conference (ICSEC)","volume":"36 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":"123513851","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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