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2017 9th International Conference on Knowledge and Smart Technology (KST)最新文献

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Computational analysis of blood parameters separate by centrifuge technique 离心分离血液参数的计算分析
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886113
Anon Wangboon, P. Phasukkit, Mongkol Keawbumrung
{"title":"Computational analysis of blood parameters separate by centrifuge technique","authors":"Anon Wangboon, P. Phasukkit, Mongkol Keawbumrung","doi":"10.1109/KST.2017.7886113","DOIUrl":"https://doi.org/10.1109/KST.2017.7886113","url":null,"abstract":"This article is purpose of the computational fluid dynamic (CFD) simulation for blood parameters separated by centrifuge machine which has different spinning velocities. The structure of the machine, as a fixed tube at 30 degrees from the base is used to prove that the precipitate of the blood's 2 parameters, such as blood cell and plasma, by using the simulation from computer In three dimensional (3D) symmetry modeling to study the change of the precipitate in centrifuge at different velocity of spinning. At 2000 rpm, 3000 rpm, 4000 rpm and 5000 rpm(round per minute) the result of this simulation showed the density of blood as low density in the top of the blood it's mean plasma and high density at the bottom of the tube it's mean blood cell. From the model in centrifuge can prove that in each different level of the density from velocity of spinning that useful for study to improvement of blood parameters separated by used computer simulation.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126404263","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
Inverse kinematics solution using neural networks from forward kinematics equations 用神经网络从正运动学方程求解逆运动学
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886084
Pannawit Srisuk, A. Sento, Y. Kitjaidure
{"title":"Inverse kinematics solution using neural networks from forward kinematics equations","authors":"Pannawit Srisuk, A. Sento, Y. Kitjaidure","doi":"10.1109/KST.2017.7886084","DOIUrl":"https://doi.org/10.1109/KST.2017.7886084","url":null,"abstract":"This paper presents the inverse kinematics solution using the neural network for a robotic arm in 3-dimension. This paper creates neural networks to represent x, y and z position of the end-effector in the forward kinematics equations. The structure of the network has 4 layers; input layer, 2 hidden layers, and output layer. The input and output layers are defined as robotic arm angle and position of the end-effector, respectively. Then, the network updates the weights by the backpropagation with variable learning rate algorithm until reaching criteria that the output of the network is equal to the desired positions. Finally, the inverse kinematics solution is defined by the optimal weights of the network. To evaluate the performance algorithm, the MATLAB Program is used to demonstrate the robotic arm movement in 3-dimension. As a result, the proposed algorithm can help the robotic arm move to the desired position quickly and correctly.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134264575","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: 27
Vietnamese-Thai machine translation using rule-based 基于规则的越南语-泰语机器翻译
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886094
Tung Nguyen Ba Son, Pusadee Seresangtakul
{"title":"Vietnamese-Thai machine translation using rule-based","authors":"Tung Nguyen Ba Son, Pusadee Seresangtakul","doi":"10.1109/KST.2017.7886094","DOIUrl":"https://doi.org/10.1109/KST.2017.7886094","url":null,"abstract":"This paper presents a rule-based Vietnamese-Thai machine translation (VTMT) system. Vietnamese text is input and segmented to a set of sentences through the use of punctuation marks. The output sentence is segmented into a sequence of words using a longest syllable matching algorithm together with named entity recognition (NER) rules. Segmented words will seek corresponding Thai words from the Vietnamese-Thai lexicon. Vietnamese to Thai transcription rules will be used to transcribe unknown words and recognized name entity words. The system will analyze the source sentence structure in order to generate the output Thai sentences. The translation accuracy obtained from the proposed system was 77.15%; which is better than the results achieved through the popular website Google Translate.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131280892","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
An intelligent system architecture for meal assistant robotic arm 一种餐饮辅助机械臂智能系统架构
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886080
A. Sento, Pannawit Srisuk, Y. Kitjaidure
{"title":"An intelligent system architecture for meal assistant robotic arm","authors":"A. Sento, Pannawit Srisuk, Y. Kitjaidure","doi":"10.1109/KST.2017.7886080","DOIUrl":"https://doi.org/10.1109/KST.2017.7886080","url":null,"abstract":"A meal assistant robotic arm is necessary for disable people who cannot move by themselves such as paralysis patients, severely handicapped people, etc. Several research articles have been proposed. However, the system designs for the meal assistant robotic arm have been found for a small number of the improvements. Therefore, this paper presents a detailed study to innovate the meal assistant robotic arm. The proposed system design consists of four parts; 1) feature extraction algorithm using the Microsoft Kinect sensor to create the target position in 3-dimensional Cartesian coordinate, 2) inverse kinematic algorithm to convert the Cartesian coordinate into the joint angles, 3) controller algorithm. The proposed controller uses a new weight updating rule model of the neural network using multi-loop calculation based on the fusion of the gradient algorithm with the cubature Kalman filter (CKF) which can optimize the internal predicted state of the updated weights to improve the proposed controller performances, and 4) the 4-joint robotic arm. To evaluate the performances, the Matlab program is used to implement the overall system. The experimental results show that the meal assistant robotic arm system is able to track the human mouth in the 3-dimensional coordinate system.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129268471","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
Vehicle detection on a pint-sized computer 小型计算机上的车辆检测
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886078
Thanida Tangkocharoen, A. Srisuphab
{"title":"Vehicle detection on a pint-sized computer","authors":"Thanida Tangkocharoen, A. Srisuphab","doi":"10.1109/KST.2017.7886078","DOIUrl":"https://doi.org/10.1109/KST.2017.7886078","url":null,"abstract":"Powerful miniature single-board computers have recently gained attention, inviting computer scientists and engineers to develop various kinds of applications on these tiny devices. Having numerous benefits over full-scaled personal computers, their small size enables system mobility and allows operations under limited power resources. Exploring its computing capability, we set up a Raspberry Pi with a high-resolution camera. Its task is to detect vehicles based on image processing techniques. This is generally regarded as a computationally demanding process. Our system implements Haar-like features and a supervised cascade learning model. Empirical results are impressive, achieving good detection rate with an average sustained image rate of 2 Hz.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133201032","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
A left eye bias for female faces 左眼偏爱女性面孔
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886129
Nayla Sokhn, F. Bertoli, R. Caldara
{"title":"A left eye bias for female faces","authors":"Nayla Sokhn, F. Bertoli, R. Caldara","doi":"10.1109/KST.2017.7886129","DOIUrl":"https://doi.org/10.1109/KST.2017.7886129","url":null,"abstract":"We investigated whether men and women use different scanning strategies to extract the visual information relevant for the recognition of female and male faces. We used an old-new recognition task during which observers were asked to identify previously learned faces. Data from two groups of observers (male, female) revealed a more accurate, but not faster, recognition of male face stimuli. Interestingly, the fixation maps revealed a consistent left gaze bias for female face stimuli, regardless of the gender of the observer. Altogether, our data show that humans deploy distinct and flexible visual sample strategies to process faces.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114454816","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
University ranking prediction system by analyzing influential global performance indicators 大学排名预测系统通过分析全球有影响的绩效指标
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886119
Anika Tabassum, M. Hasan, Shibbir Ahmed, R. Tasmin, D. M. Abdullah, Tasnim Musharrat
{"title":"University ranking prediction system by analyzing influential global performance indicators","authors":"Anika Tabassum, M. Hasan, Shibbir Ahmed, R. Tasmin, D. M. Abdullah, Tasnim Musharrat","doi":"10.1109/KST.2017.7886119","DOIUrl":"https://doi.org/10.1109/KST.2017.7886119","url":null,"abstract":"In this research, we present a technique of developing university ranking prediction system by analyzing global university performance indicators. Here, we consider standardized dataset of Times higher education world university rankings. Firstly, we perform country wise university ranking data analysis to observe the variation of performance indicators to find out the top influential features. To build the proposed prediction model, we split the ranking dataset into training and test data. Then, based on score of previous years we generate predicted score for each influential feature using our proposed outlier detection and rank score calculation algorithm. Later on, all the universities are ranked globally based on the predicted total score. Then, we evaluate the prediction system accuracy based on ROC curve, recall, number of matched rank against rank deviation. Finally it is justified that our proposed university ranking prediction system is well suited to assess the upcoming global university ranking.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125861517","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: 8
Low cost weather station for climate-smart agriculture 低成本气候智能型农业气象站
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886085
Sonam Tenzin, S. Siyang, T. Pobkrut, T. Kerdcharoen
{"title":"Low cost weather station for climate-smart agriculture","authors":"Sonam Tenzin, S. Siyang, T. Pobkrut, T. Kerdcharoen","doi":"10.1109/KST.2017.7886085","DOIUrl":"https://doi.org/10.1109/KST.2017.7886085","url":null,"abstract":"Climate-smart agriculture is one of the techniques that maximizes agricultural outputs through proper management of inputs based on climatological conditions. Real-time weather monitoring system is an important tool to monitor the climatic conditions of a farm because many of the farms related problems can be solved by better understanding of the surrounding weather conditions. There are various designs of weather monitoring stations based on different technological modules. However, different monitoring technologies provide different data sets, thus creating vagueness in accuracy of the weather parameters measured. In this paper, a weather station was designed and deployed in an Edamame farm, and its meteorological data are compared with the commercial Davis Vantage Pro2 installed at the same farm. The results show that the lab-made weather monitoring system is equivalently efficient to measure various weather parameters. Therefore, the designed system welcomes low-income farmers to integrate it into their climate-smart farming practice.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"98 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133110200","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: 48
Isarn Dharma Alphabets lexicon for natural language processing 用于自然语言处理的Isarn Dharma Alphabets词典
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886108
Nongnud Phaiboon, Pusadee Seresangtakul
{"title":"Isarn Dharma Alphabets lexicon for natural language processing","authors":"Nongnud Phaiboon, Pusadee Seresangtakul","doi":"10.1109/KST.2017.7886108","DOIUrl":"https://doi.org/10.1109/KST.2017.7886108","url":null,"abstract":"Lexicon is a collection of individual words in the language, which is essential for NLP (Natural Language Processing) research such as machine translation, word segmentation and speech processing. According to the computerize system applying to Isarn Dharma Alphabets, this research aims to collect important features to support research in natural language and speech processing field. In the study, Isarn Dharma Alphabets lexicon using Trie structure was constructed. The lexicon consists of Isarn Dharma Alphabets words, Thai words, English words, phonemes, parts of speech, sub-parts of speech, special characteristics, Thai descriptions, and English descriptions. The lexicon contains approximately 8,000 words. Moreover, Isarn Dharma Alphabets transcription system has been proposed based on linguistic rules.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131843312","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
Evaluation of low power listening MAC protocol on network monitoring in wireless sensor networks 低功耗监听MAC协议在无线传感器网络监控中的应用评估
2017 9th International Conference on Knowledge and Smart Technology (KST) Pub Date : 2017-02-01 DOI: 10.1109/KST.2017.7886117
Krita Pattamasiriwat, C. Jaikaeo
{"title":"Evaluation of low power listening MAC protocol on network monitoring in wireless sensor networks","authors":"Krita Pattamasiriwat, C. Jaikaeo","doi":"10.1109/KST.2017.7886117","DOIUrl":"https://doi.org/10.1109/KST.2017.7886117","url":null,"abstract":"Addition of network monitoring process usually leads to higher power consumption since more diagnosis information needs to be exchanged throughout the network. Low Power Listening (LPL) provides a mechanism to prolong the network's lifetime. In this work, we evaluate the impact of LPL on the performance of the network monitoring schemes in WSNs. ContikiMAC is used as the LPL mechanism. Centralized and distributed monitoring approaches are both evaluated. Simulation results indicate that while the LPL mechanism helps reduce power consumption significantly in both schemes, even more reduction can be achieved using the distributed approach. In addition, detection accuracy of both schemes is not significantly different. This outcome emphasizes that, with LPL enabled, a distributed approach for network monitoring should be considered when power consumption is a criterion.","PeriodicalId":190832,"journal":{"name":"2017 9th International Conference on Knowledge and Smart Technology (KST)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125060938","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
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