การประยุกต์ใช้ระบบสารสนเทศภูมิศาสตร์สำหรับการวิเคราะห์และการเปรียบเทียบเชิงพื้นที่และเวลาเพื่อศึกษาการกระจายของปริมาณและความหลากหลายชนิดของต้นไม้ในมหาวิทยาลัยเทคโนโลยีราชมงคลอีสาน

Application of Geographic Information System for Spatio-temporal Analysis and Comparison to Study Distribution of Tree Species Quantity and Diversity in Rajamangala University of Technology ISAN   Yaowaret Jantakat   รับบทความ: 26 กุมภาพันธ์ 2565; แก้ไขบทความ: 7 กรกฎาคม 2565; ยอมรับตีพิมพ์: 12 กรกฎาคม 2565; ตีพิมพ์ออนไลน์: 6 พฤศจิกายน 2565   บทคัดย่อ การศึกษานี้มีจุดประสงค์เพื่อวิเคราะห์และเปรียบเทียบเชิงพื้นที่และเวลาสำหรับการกระจายของปริมาณและความหลากหลายชนิดของต้นไม้ในมหาวิทยาลัยเทคโนโลยีราชมงคลอีสาน ที่ตั้งในตำบลในเมือง อำเภอเมืองนครราชสีมา จังหวัดนครราชสีมา ระหว่างปี พ.ศ. 2560 ถึง พ.ศ. 2564 ด้วยการคำนวณค่าดัชนีความหลากหลายด้วยวิธี Shanon–Wiener diversity index และการกระจายเชิงพื้นที่ของปริมาณและความหลากหลายชนิดของต้นไม้ด้วยเทคนิค average nearest neighbor ในโปรแกรมสารสนเทศภูมิศาสตร์ ผลการศึกษาพบว่า ในปี 2560 มีปริมาณต้นไม้ 1,375 ต้น และค่าดัชนีความหลากหลายของต้นไม้อยู่ระหว่าง 0.038–0.531 หรือเฉลี่ย 0.180±0.139 (72 ชนิด) และในปี 2564 มีปริมาณต้นไม้ 1,357 ต้น และค่าดัชนีความหลากหลายของต้นไม้อยู่ระหว่าง 0.070–0.540 หรือเฉลี่ย 0.184±0.127 (74 ชนิด) สำหรับการกระจายเชิงพื้นที่ด้วยเทคนิค average nearest neighbor ของปริมาณต้นไม้ในสองปีดังกล่าว โดยมีการกระจายในแบบเกาะกลุ่ม ซึ่งเป็นไปตามการกำหนดสมมติฐานแบบมีทิศทางโดยสมมติฐานหลัก (H0) ค่าดัชนีความหลากหลายเท่ากับ 1 (การกระจายในแบบเกาะกลุ่ม) และสมมติฐานทางเลือก (HA) ค่าดัชนีความหลากหลายมากกว่า 1 (การกระจายในแบบกระจาย) ที่ระดับนัยสำคัญ 0.01 ทั้งนี้พบการกระจายเชิงพื้นที่ของต้นไม้ในพื้นที่ศึกษาตามเส้นถนนบริเวณทางเท้า และที่รกร้างเป็นส่วนใหญ่ โดยมีชนิดพรรณเด่นของต้นไม้ คือ มะขาม ในปี พ.ศ. 2560 และกระถิน ในปี พ.ศ. 2564 คำสำคัญ: ระบบสารสนเทศภูมิศาสตร์  ความหลากหลายของชนิดต้นไม้  การวิเคราะห์เชิงพื้นที่และเวลา  มหาวิทยาลัยสีเขียว   Abstract This study aimed to analyze and compare spatio-temporal data for distribution of tree species quantity and diversity in Rajamangala University of Technology ISAN where locates in Ni–Muang sub–district, Muang district, Nakhonratchasima province between 2017 and 2021. Shanon–Wiener diversity index was used for calculating tree diversity and distribution of tree species quantity and diversity was analyzed by average nearest neighbor in GIS program. The results were found that, in 2017, there were totally 1,357 trees and diversity index was between 0.038–0.531 or average 0.180±0.139 (72 species) and, in 2021, there were totally 1,357 trees and diversity index was between 0.070–0.540 or average 0.1836±0.127 (74 species) in year 2021. For spatial distribution of such two years, there were a clustered pattern according to the mainly non-directional hypothesis (H0) with diversity index equal to 1 (clustering) and the alternative hypothesis (HA) with diversity index higher than 0 (dispersion) at significant level 0.01. The spatial distribution of trees in the study area was found mostly along roads on sidewalks and abandoned areas with tree dominance consist of Tamarin in 2017 and Acacia in 2021. Keywords: Geographic information system, Tree diversity, Spatio–temporal analysis, Green universit

Contribution to the application of near ground L-band radiometry

Premi HEMAV 2019 al millor TFGARIEL is an L-band radiometer adapted from Earth Observation satellite technology for use in terrestrial, near to ground surveys of moisture. The key technical benefits are compact size, lightweight, mobility and high pixel density (up to 1m2). This project demonstrates the capability of high spatial and temporal resolution L-Band radiometry to produce detailed soil moisture contour maps within a 1 km2 area. The study was performed prior, during and after 12 mm of rainfall to determine the soil surface absorption and adsorption behaviour in relation to surface moisture. The radiometer was equipped with photodiodes to enable the normalised difference vegetation index (NDVI) data to be extracted concurrently. Hence this is a very near ground, high resolution and high precision study of soil moisture derived from L-band emissivity. 
 The project is focused on the technology application and production of useful products in the form of moisture contour maps and vegetation detection. The radiometer functioned admirably during the consecutive test campaigns and in conditions that varied from direct sun to rain and mud. Patterns of soil moisture over time and within specific sub-areas of the field are identified and quantified. The intra-field differences appear to primarily be related to soil type and soil surface characteristics which were qualitatively assessed in this study as quantified approaches are available in empirical and theoretical studies. Average field moistures are measured daily and differentiation is made between soil types within the field. The effect of dry and moist surface emissivity on retrieved moisture is noted, as is the effect of vegetation on soil surface emissivity with the aid of the vegetation index. Comparisons are drawn to the highest resolution satellite imagery (30 m spatial, 3 day temporal) and highlight the limitations and richness of local data that is missed in relation to local soil moisture surface absorption patterns during rainfall. The radiometer is shown to achieve very high resolution and precision that is not possible from satellite or even light aircraft. Furthermore, it is shown to be able to study ground conditions when they are occluded from satellite and hence the moisture profile maps presented are unique in their detail.Award-winnin

Q&A Platforms Evaluated Using Butler University Q&A Intelligence Index

A new study using the Butler University Q&A Intelligence Index measures how various mobile Q&A platforms deliver quality, accurate answers in a timely manner to a broad variety of questions. Based on the results of our analysis, ChaCha led all Q&A platforms on mobile devices. Results of the study are based upon review of a large set of responses from each of the major Q&A platforms, coupled with a comparison of disparate Q&A platforms that serve answers in different ways. Our methodology included the creation of a new metric, termed the Butler University Q&A Intelligence Index, which measures the likelihood that a user can expect to receive a correct answer in a timely manner to any random question asked using natural language. We asked questions via mobile services and randomized the questions to cover both popular and long-tail knowledge requests

A New Weighting Scheme in Weighted Markov Model for Predicting the Probability of Drought Episodes

Drought is a complex stochastic natural hazard caused by prolonged shortage of rainfall. Several environmental factors are involved in determining drought classes at the specific monitoring station. Therefore, efficient sequence processing techniques are required to explore and predict the periodic information about the various episodes of drought classes. In this study, we proposed a new weighting scheme to predict the probability of various drought classes under Weighted Markov Chain (WMC) model. We provide a standardized scheme of weights for ordinal sequences of drought classifications by normalizing squared weighted Cohen Kappa. Illustrations of the proposed scheme are given by including temporal ordinal data on drought classes determined by the standardized precipitation temperature index (SPTI). Experimental results show that the proposed weighting scheme for WMC model is sufficiently flexible to address actual changes in drought classifications by restructuring the transient behavior of a Markov chain. In summary, this paper proposes a new weighting scheme to improve the accuracy of the WMC, specifically in the field of hydrology

Spatiotemporal correlations of handset-based service usages

We study spatiotemporal correlations and temporal diversities of handset-based service usages by analyzing a dataset that includes detailed information about locations and service usages of 124 users over 16 months. By constructing the spatiotemporal trajectories of the users we detect several meaningful places or contexts for each one of them and show how the context affects the service usage patterns. We find that temporal patterns of service usages are bound to the typical weekly cycles of humans, yet they show maximal activities at different times. We first discuss their temporal correlations and then investigate the time-ordering behavior of communication services like calls being followed by the non-communication services like applications. We also find that the behavioral overlap network based on the clustering of temporal patterns is comparable to the communication network of users. Our approach provides a useful framework for handset-based data analysis and helps us to understand the complexities of information and communications technology enabled human behavior.Comment: 11 pages, 15 figure

Development of an empirical model for chlorophyll-a and Secchi Disk Depth estimation for a Pampean shallow lake (Argentina)

Shallow Pampean lakes are located in the most productive plain of Argentina. They are highly variable in salinity, turbidity and surface area. Laguna Chascomús has been monitored as a representative example of them. We developed a linear model based on satellite images validated against field measurements (2001–2011 period). A vegetation index and Landsat Surface Reflectance (Band 4) produced the best correlations with chlorophyll-a (Chl-a) and Secchi Disk Depth (SDD), respectively. In a second instance, a retrospective analysis (1986–2013) was performed. As a result, significant positive trends were observed for SDD and Chl-a. In addition, both variables displayed trends related to rainfall and site depth.Fil: Bohn, Vanesa Yael. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca; Argentina. Universidad Nacional del Sur. Departamento de Geografía y Turismo; ArgentinaFil: Carmona, Facundo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; ArgentinaFil: Rivas, Raúl Eduardo. Universidad Nacional del Centro de la Provincia de Buenos Aires. Rectorado. Instituto de Hidrología de Llanuras - Sede Tandil. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Instituto de Hidrología de Llanuras - Sede Tandil; ArgentinaFil: Lagomarsino, Leonardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Diovisalvi, Nadia Rosalia. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); ArgentinaFil: Zagarese, Horacio Ernesto. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús). Universidad Nacional de San Martín. Instituto de Investigaciones Biotecnológicas. Instituto de Investigaciones Biotecnológicas "Dr. Raúl Alfonsín" (sede Chascomús); Argentin

Spherical harmonic decomposition applied to spatial-temporal analysis of human high-density EEG

We demonstrate an application of spherical harmonic decomposition to analysis of the human electroencephalogram (EEG). We implement two methods and discuss issues specific to analysis of hemispherical, irregularly sampled data. Performance of the methods and spatial sampling requirements are quantified using simulated data. The analysis is applied to experimental EEG data, confirming earlier reports of an approximate frequency-wavenumber relationship in some bands.Comment: 12 pages, 8 figures, submitted to Phys. Rev. E, uses APS RevTeX style

Understanding user experience of mobile video: Framework, measurement, and optimization

Since users have become the focus of product/service design in last decade, the term User eXperience (UX) has been frequently used in the field of Human-Computer-Interaction (HCI). Research on UX facilitates a better understanding of the various aspects of the user’s interaction with the product or service. Mobile video, as a new and promising service and research field, has attracted great attention. Due to the significance of UX in the success of mobile video (Jordan, 2002), many researchers have centered on this area, examining users’ expectations, motivations, requirements, and usage context. As a result, many influencing factors have been explored (Buchinger, Kriglstein, Brandt & Hlavacs, 2011; Buchinger, Kriglstein & Hlavacs, 2009). However, a general framework for specific mobile video service is lacking for structuring such a great number of factors. To measure user experience of multimedia services such as mobile video, quality of experience (QoE) has recently become a prominent concept. In contrast to the traditionally used concept quality of service (QoS), QoE not only involves objectively measuring the delivered service but also takes into account user’s needs and desires when using the service, emphasizing the user’s overall acceptability on the service. Many QoE metrics are able to estimate the user perceived quality or acceptability of mobile video, but may be not enough accurate for the overall UX prediction due to the complexity of UX. Only a few frameworks of QoE have addressed more aspects of UX for mobile multimedia applications but need be transformed into practical measures. The challenge of optimizing UX remains adaptations to the resource constrains (e.g., network conditions, mobile device capabilities, and heterogeneous usage contexts) as well as meeting complicated user requirements (e.g., usage purposes and personal preferences). In this chapter, we investigate the existing important UX frameworks, compare their similarities and discuss some important features that fit in the mobile video service. Based on the previous research, we propose a simple UX framework for mobile video application by mapping a variety of influencing factors of UX upon a typical mobile video delivery system. Each component and its factors are explored with comprehensive literature reviews. The proposed framework may benefit in user-centred design of mobile video through taking a complete consideration of UX influences and in improvement of mobile videoservice quality by adjusting the values of certain factors to produce a positive user experience. It may also facilitate relative research in the way of locating important issues to study, clarifying research scopes, and setting up proper study procedures. We then review a great deal of research on UX measurement, including QoE metrics and QoE frameworks of mobile multimedia. Finally, we discuss how to achieve an optimal quality of user experience by focusing on the issues of various aspects of UX of mobile video. In the conclusion, we suggest some open issues for future study