Information Extraction based on Named Entity for Tourism Corpus

Tourism information is scattered around nowadays. To search for the information, it is usually time consuming to browse through the results from search engine, select and view the details of each accommodation. In this paper, we present a methodology to extract particular information from full text returned from the search engine to facilitate the users. Then, the users can specifically look to the desired relevant information. The approach can be used for the same task in other domains. The main steps are 1) building training data and 2) building recognition model. First, the tourism data is gathered and the vocabularies are built. The raw corpus is used to train for creating vocabulary embedding. Also, it is used for creating annotated data. The process of creating named entity annotation is presented. Then, the recognition model of a given entity type can be built. From the experiments, given hotel description, the model can extract the desired entity,i.e, name, location, facility. The extracted data can further be stored as a structured information, e.g., in the ontology format, for future querying and inference. The model for automatic named entity identification, based on machine learning, yields the error ranging 8%-25%.Comment: 6 pages, 9 figure

Parallel Simulation of HGMS of Weakly Magnetic Nanoparticles in Irrotational Flow of Inviscid Fluid

The process of high gradient magnetic separation (HGMS) using a microferromagnetic wire for capturing weakly magnetic nanoparticles in the irrotational flow of inviscid fluid is simulated by using parallel algorithm developed based on openMP. The two-dimensional problem of particle transport under the influences of magnetic force and fluid flow is considered in an annular domain surrounding the wire with inner radius equal to that of the wire and outer radius equal to various multiples of wire radius. The differential equations governing particle transport are solved numerically as an initial and boundary values problem by using the finite-difference method. Concentration distribution of the particles around the wire is investigated and compared with some previously reported results and shows the good agreement between them. The results show the feasibility of accumulating weakly magnetic nanoparticles in specific regions on the wire surface which is useful for applications in biomedical and environmental works. The speedup of parallel simulation ranges from 1.8 to 21 depending on the number of threads and the domain problem size as well as the number of iterations. With the nature of computing in the application and current multicore technology, it is observed that 4–8 threads are sufficient to obtain the optimized speedup

Influence of composition and structure on optical properties of food emulsions

Appearance plays an important role in determining the quality of food products, but little work has been done on the factors that influence the appearance of food emulsions. Appearance depends on the scattering and absorption efficiency of the emulsions. The scattering efficiency is determined mainly by droplet characteristics (size, concentration, aggregation and relative refractive index), while the absorption efficiency is determined by dye characteristics (absorption spectra and concentration). The objective of this study is to investigate the influence of droplet, TiO2 and dye characteristics on the optical properties of oil-in-water emulsions, and apply the knowledge gained from model systems to understand the factors determining the optical properties of a real food system, milk. Droplet and dye characteristics had a pronounced influence on emulsion appearance. The lightness of an emulsion was correlated to the scattering efficiency of the droplets. The color of emulsions (a- and b-values) was mainly determined by the type (red, green, blue) and concentration (0–0.1 wt%) of chromophores present. The lightness of emulsions increased steeply between 0 and 5 wt% oil, and increased slightly at higher concentrations (5–20 wt%). It also increased with decreasing droplet diameter (30–0.2 μm) and increasing refractive index difference between the two phases. The influence of droplet characteristics on the lightness and color of emulsions containing different types of dye was fairly similar. Droplet flocculation did have an impact on emulsion appearance, but the effect was relatively small compared to the effect of droplet size. Small amounts of TiO2 could be used to obtain the same emulsion appearance at lower oil contents. The optical properties of dairy emulsions showed the same trends as those of model ones. The effect was most pronounced below 5% milk fat. There was good correlation between sensory analysis and instrument measurement of emulsion color. Food emulsion appearance therefore can be optimized by carefully controlling droplet and dye characteristics. TiO2 has good potential to improve the appearance of low-fat foods. A mathematical model based on light scattering theory was shown to have good potential for predicting the influence of composition and microstructure on the optical properties of emulsions

เครื่องมือสร้างภาพวัฏจักรราคาหุ้นระยะสั้นโดยใช้กราฟถ่วงน้ำหนักA short-term stock price cycle visualization tool using a weighted graph

งานวิจัยนี้นำเสนอเครื่องมือสร้างภาพวัฏจักรราคาหุ้นที่เกิดวงรอบระยะสั้น โดยใช้ไลบรารีไฟล์ vis.js สำหรับสร้างกราฟถ่วงน้ำหนักจากฐานข้อมูลการซื้อขายหลักทรัพย์ที่ได้รวบรวม เพื่อนำเสนอกรอบราคาหุ้นและแนวโน้มการเปลี่ยนแปลงที่ช่วยให้นักลงทุนเห็นภาพได้อย่างชัดเจน ซึ่งกราฟจัดเรียงโหนดราคาและระบุค่าความถี่ที่เกิดซ้ำ แล้วลากเส้นเชื่อมโหนดราคาแบบระบุทิศทางตามลำดับ กำหนดรูปแบบการเปลี่ยนแปลงผ่านเส้นเชื่อมต่อด้วยการใช้สี ขนาด ความยาว กำกับด้วยลำดับและจำนวนหน่วยที่เปลี่ยนแปลงคล้ายการวาดเส้นจำนวน จากกรอบการลงทุนจึงแบ่งกราฟออกเป็น 1) กราฟราคาต่ำสุดสำหรับอ้างอิงกรอบแนวรับในการซื้อและ 2) กราฟราคาสูงสุดสำหรับอ้างอิงกรอบแนวต้านในการขาย จากการจัดเก็บข้อมูลราคาหุ้นของบริษัทหลักทรัพย์ในตลาดหลักทรัพย์แห่งประเทศไทยย้อนหลัง 1 ปี และประเมินผลแอปพลิเคชันในการสร้างกราฟวัฏจักรราคาหุ้นของบริษัทในกลุ่ม SET100 จำนวน 10 บริษัท ด้วยชุดข้อมูลย้อนหลัง 5, 10, 15, 20 และ 25 วัน พบว่ากราฟสามารถแสดงการเปลี่ยนแปลงราคาแบบวงรอบ ทิศทางและแนวโน้มการแกว่งของราคาหุ้นได้ ช่วยให้นักลงทุนสามารถกำหนดกรอบราคาในการซื้อขายได้เหมาะสมกับเวลาของการลงทุน เพื่อใช้หาจุดกลับตัวในการลงทุน ผลจากการตั้งราคาตามที่นำเสนอในภาพวัฏจักรราคา ช่วยเพิ่มโอกาสในการซื้อได้สำเร็จคิดเป็นร้อยละ 64 และมีโอกาสในการขายได้สำเร็จร้อยละ 57 เป็นการวิเคราะห์รูปแบบการเปลี่ยนแปลงการซื้อขายหลักทรัพย์สำหรับสนับสนุนการตัดสินใจเสนอราคาซื้อขายตามกรอบเวลาลงทุนระยะสั้นได้This research presents the visualization tool for creating a weighted graph that shows a short cycle of stock prices. The weighted graph is implemented using vis.js library based on the gathered stock price database. The visualization presents the stock price boundary and trend which can aid the investors. The graph orders nodes by prices and includes the frequency of cycle occurrences. Nodes are connected and formed as a directed graph. The amount of price change is implied by edges with the size, color, length and is labeled in the order of the unit of change similar to the number line. From the investment scope, we divide the graph into: 1) the graph showing the minimum reference price suggesting for buying 2) the graph showing the maximum reference price against selling. From the stock price collected from SET for 1 year, we evaluated the application in creating the stock price cycle graph for the companies under SET100 for 10 companies with the history data 5, 10, 15, 20 and 25 days backward. The graph can demonstrate the price change as a cycle, the direction, and the change trend. This enables the investors to specify the boundary of buying and selling price at the appropriate time in order to find the turning point for investment. This pricing scheme resulting from the price cycle can lead to 64% of the success of buying and lead to 57% of the success of selling. This visualization is a decision support system helping the investor to buy and sell within the time frame for a short investment period

On the 3D point clouds–palm and coconut trees data set extraction and their usages

Abstract Objective Drone image data set can be utilized for field surveying and image data collection which can be useful for analytics. With the current drone mapping software, useful 3D object reconstruction is possible. This research aims to learn the 3D data set construction process for trees with open-source software along with their usage. Thus, we research the tools used for 3D data set construction, especially in the agriculture field. Due to the growing open-source community, we demonstrate the case study of our palm and coconut data sets against the open-source ones. Results The methodology for achieving the point cloud data set was based on the tools: OpenDroneMap, CloudCompare, and Open3D. As a result, 40 palm trees and 40 coconut tree point clouds were extracted. Examples of the usages are provided in the area of volume estimation and graph analytics