cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.7910/dvn/htb4hj/i8x9jt
title: fabric.asc

description: Faults in fabric (Table 16.4; Table 14.4 of first edition)
DOI: 10.7910/dvn/htb4hj/k49g5u
title: contingency.asc

description: Contingency table from a sample survey (Table 16.2; Table 14.2 of first edition)
DOI: 10.7910/dvn/htb4hj/6st1bl
title: presidential.asc

description: Forecasting Presidential elections (Section 15.2; Section 13.2 of first edition)
DOI: 10.7910/dvn/htb4hj/uj14kj
title: gd85to89.txt

description: Kidney cancer death rates by county (Section 2.8) data file
DOI: 10.7910/dvn/htb4hj/zidakx
title: cow.asc

description: Cow feed experiment (example on page 222-223; Table 7.5 of first edition)
DOI: 10.5281/zenodo.2843846
title: Validity and reliability of the Kinovea program in obtaining angles and distances using coordinates in 4 perspectives

description: Dataset used to perform the statistical analysis for the article "Validity and reliability of the Kinovea program in obtaining angles and distances using coordinates in 4 perspectives"
DOI: 10.5281/zenodo.2843847
title: Validity and reliability of the Kinovea program in obtaining angles and distances using coordinates in 4 perspectives

description: Dataset used to perform the statistical analysis for the article "Validity and reliability of the Kinovea program in obtaining angles and distances using coordinates in 4 perspectives"
DOI: 10.15468/g1rt5y
title: Mammals of Iwokrama Rainforest

description: Mammals of Iwokrama Rainforest, Guyana, South America
DOI: 10.25828/xmhj-mk11
title: Continuous Multi-Purpose Household Survey 2009
DOI: 10.5286/isis.e.rb2000006
title: Neutron testing for AIRBUS RADPOWER @ ISIS

description: This experiment is linked to an internal AIRBUS Central R&T project, to assess future WBG semiconductor technologies, for future AIRBUS applications
DOI: 10.5286/isis.e.rb2000006-1
title: Neutron testing for AIRBUS RADPOWER @ ISIS

description: This experiment is linked to an internal AIRBUS Central R&T project, to assess future WBG semiconductor technologies, for future AIRBUS applications
DOI: 10.5286/isis.e.rb2000008
title: ArgoMoon-Techno System Developments

description: aaa
DOI: 10.5286/isis.e.rb2000008-1
title: ArgoMoon-Techno System Developments

description: aaa
DOI: 10.5286/isis.e.rb2000005
title: Chipir commercial access:STMicroelectronics SRL -- test n1 2019
DOI: 10.5286/isis.e.rb2000005-1
title: Chipir commercial access:STMicroelectronics SRL -- test n1 2019
DOI: 10.14457/tu.the.2018.127
title: Mathematical model for optimizing feed mix raw material requirement and estimating the impacts of government policies and storage capacity: a case study in Thailand

description: This research involves solving a feed mix problem for the feed industry in Thailand from the perspective of the policy maker. The problem focuses on determining optimal purchase and usage amounts of domestic and imported raw materials to satisfy monthly demands of major feeds from downstream livestock industry. Domestic raw materials considered are maize, rice by-products, cassava chips, fish meals, rice bran oil, and imported raw materials are soybean meal, wheat grain, and DDGS. Major feeds include broiler, hen, and swine feeds, which are separated into eight types with respect to their growth stages. A linear programming model that minimizes the total cost of purchase, preprocessing, and raw materials inventory holding is formulated. Since the analysis is performed for the whole industry, from the policy maker standpoint, only two main nutrient requirements, protein and energy, are considered. They are nutrients that can be satisfied by cheaper imported raw material supplies, which directly impact domestic raw material usage and Thai farmer incomes. In addition to common feed mix problem requirements (i.e. demand, supply, nutrient ingredients, nutrient requirements, feed ration), constraints representing the current government policy and storage capacity are incorporated. The model is solved with real data in various scenario to estimate their impacts on key system performance measures that reflect competitiveness of the feed industry. These measures are the total cost, average feed cost, and the remaining domestic raw material at the end of the season. The results suggest an appropriate policy that gives a better tradeoff between the farmer benefit and loss in the feed industry competitiveness.
DOI: 10.14457/tu.the.2018.128
title: Glocal control for mecanum-wheeled vehicle with slip compensation

description: This thesis proposes a hierarchical decentralized controller for a mecanum-wheeled vehicle represented as a homogenous multi-agent system. The equations of motion for each individual mecanum wheel and the entire vehicle with slip are analyzed to construct a linear time-varying interconnected model. The global objective is the position trajectory tracking of the vehicle as a result of the effective forces produced by each wheel. The local objective is the driving force and slip controls of each wheel, with consideration of the interconnection between all agents. The proposed hierarchical linear quadratic regulator (LQR) control ensures satisfaction of both global and local objectives, according to the concepts of glocal control. Simulation results of a mecanum-wheel vehicle are shown that verify the performance and validity of the method.
DOI: 10.14457/tu.the.2018.129
title: Stock price prediction with long short-term memory recurrent neural network

description: In this research, A selected of top five stock, middle 25 stocks, and low 50 stocks from the SET50 index are applied as the input data. An investigation on daily stock price forecasting is used Recurrent Neural Network with Long Short-Term Memory (LSTM) and Deep Belief Network. There are CPALL, SCB, SCC, KBANK, PTT, INTUCH, IRPC, IVL, KCE, KKP, TMB, TOP, TRUE, TU, and WHA is used as the test data. To compare how accuracy performance of each stock in the forecasting model is a motivation to select these fifteen stocks. To improve the model accuracy, Box-Behnken Design is proposed for hyperparameter optimization. The experiment is conducted in three different ways. First, the experiment of LSTM model varied by the number of inputs and the number of looks back. CPALL, SCB, SCC, KBANK, IVL, KCE, KKP, and TMB are outperformed for four inputs and one look back. PTT, IRPC, TOP, TRUE (Two Look back), and TU provide six inputs and one look back. INTUCH, and WHA are outperformed for eight inputs and one look back. Different length of training stock data is applied with LSTM from one year, three years, and five years. There is a large distribution of IRPC and TRUE. That means the MAPE error is higher than other stock. Second, the comparison of LSTM with DBN is conducted. The result LSTM stock gives a good result for low volatilities stock. However, DBN gives the best performance with high volatilities stock. The last experiment is applied a Box-Behnken design to optimizing the number of neurons, look back and epoch. The optimal value of each parameter and model accuracy depend on each type of stocks.
DOI: 10.14457/tu.the.2018.130
title: Optimal inventory control policy of a hybrid manufacturing-remanufacturing system using a fuzzy linear programming

description: Remanufacturing is one of the product recovery techniques to bring used or end of life products back to like-new products. Production planning of inventory control policies in the hybrid manufacturing/remanufacturing system with different prioritizations (manufacturing vs remanufacturing) is investigated in this study. For this production planning problem, the imprecision of customer demand, related operating costs, number of returned used components and all lead time and production times are uncertain and it would complicate the planning of the production and inventory control. As a result, the fuzzy set theory is employed due to the presence of the imprecise information and the Fuzzy Linear Programming (FLP) is applied to optimize the model under these uncertainties. The proposed approach maximizes the most likely value of the profit, minimizes the risk of obtaining a lower profit, and maximizes the possibility of obtaining a higher profit for each production planning policy. The result shows that the Priority-To-Remanufacturing (PTR) policy shows a higher profit than the policy of Priority-To-Manufacturing (PTM) and FLP can help decision makers to be well aware of the risks and effects of uncertainties towards their plans. As a result, they can prepare in advance for such scenarios.
DOI: 10.14457/tu.the.2018.131
title: Public perception of a solid waste dumpsite in Samut Prakan,Thailand

description: In Thailand, the continued use of unsanitary disposal sites without sufficient environmental and public health protection has led to a growing negative public perception of local municipal solid waste facilities. While the development of a more environmentally-benign system is underway, it is essential to understand how to handle and prevent negative public perception from escalating into excessive public opposition. In this paper, in-depth interviews and questionnaire-based interviews are used to gather data from 468 respondents, at 28 survey locations, within a 5.7 km radius of the Praeksa Mai dumpsite. The concerns that drive negative public perceptions of the dumpsite, which can be classified into those related to health, environment, and property value of land, are revealed. Non-parametric statistical analysis techniques are used to identify the significant factors influencing the perception of residents living near the dumpsite, and to investigate the change in perception related to 6 impact categories across different distance intervals from the dumpsite. The results show that the odor is the most significant issue faced by the group of residents living within 1 km around the dumpsite. Overall, the impact distance is about 3.5 km away from the dumpsite. Beyond this distance, respondents feel that they are only slightly affected by the dumpsite. The approach used to investigate the impact distance and the change of public perception over distance is the main contribution of this paper.
DOI: 10.14457/tu.the.2018.132
title: Sustainable solid waste management system in urban areas of Pathum Thani Thailand

description: The establish of municipal solid waste management facilities is a complex problem, considering the need to deal with various environmental criteria, and impacts. Usage of open dump for solid waste disposal is a major pollution source in developing countries, especially in urban areas where population density and land scarcity are high. Allocation of the limited available land resource to provide sufficient disposal site capacity, while gaining public acceptance, is quite a challenging task. This research explores the concept of the sustainability in supply chain network design (SCND) for municipal solid waste management (MSWM) system, with an aim to address the economic, public health, and land use impacts. We propose a methodology for designing MSWM system, using urbanizing areas in Pathum Thani province, Thailand. The use of GIS in site screening is made for calculated land availability, determined feasible location of waste facilities, and estimated the number of affected people, which distributed across transport network and waste facility areas. Life-cycle Impact Assessment (LCIA) tools are used to translate the land occupation impacts of all waste processing facilities and to represent the overall public health impact of transport and waste facility’s process emission exposure in people, who lives nearby the transportation routes and facilities, with the matric of disability-adjusted life years (DALYs). In term of awareness from waste generated, the metric of network analysis technique is used reduce the long-haul travelling distance. This paper develops a multi-objective optimization model with the goal to control and minimize the impact of SCND in MSWM system under contradictory objective function, consisting of cost, average land use stress, and public health impact objectives. The obtained design solution under single- and multi-objective optimization are presented. In addition, the trade-off of the contradictory objective’ set suggest that the use of mixed technologies can help the decision makers to reach the compromise solution.
DOI: 10.14457/tu.the.2018.133
title: Traffic state prediction on expressway using deep learning approach

description: Traffic prediction methods have been proposed by many researchers to handle the growing problem of traffic congestion. However, Convolutional Neural Networks (CNN) which are known to be very good at pattern recognition tasks, have been used for traffic prediction in very few studies. In this study, different settings of CNN along with other widely used models including K-Nearest Neighbors (KNN), Random Forest (RF), and Multi-Layer Perceptron (MLP) were applied to predict traffic states on a congested section of an expressway in Thailand. In the first part of the experiment, different settings of CNN were compared to find the best setting. The result comparison shows that CNN with a feature detector size of 2 by 1 and no pooling layer, gives the lowest Root-Mean-Squared Error (RMSE) among other settings and other widely used models. CNN with the best setting outperforms other widely used models (with their best settings) with the lowest RMSE of 0.3569. In the second part, all interesting findings apart from the main result were shown including comparisons of settings of other models.
DOI: 10.14457/tu.the.2018.134
title: Sustainability analysis for the lower Chao Phraya River using system dynamics approach

description: The Chao Phraya river is the most well-known river in Thailand. It provides water resources to the population and serves the main transportation route, and recreational places, with a diverse ecosystem. Water quality issues in the Chao Phraya river have been well-documented in the literature. Additionally, the ill conditions of the river are easily noticed by people who travel nearby the river. The government has enforced rules and regulations to mitigate the environmental problems in the river. However, problems still exist. In this research, we construct a system dynamics (SD) model, called ChaoPSD. The proposed model includes three subsystems: (1) household, (2) industry, and (3) agriculture. This model tracks the nitrogen load in the lower Chao Phraya river over time. After the model validation, ChaoPSD is used as a tool for a better comprehension of the interrelationships among the actions of users and the health of the river. The simulation results show that there will be an increasing amount of nitrogen in the Chao Phraya river from 2018 to 2023. We suggest that controlling the discharged nitrogen by increasing the efficiency of wastewater treatment and increasing people’s awareness are essential for environmental sustainability in the Chao Phraya river.
DOI: 10.14457/tu.the.2018.135
title: Effects of asset condition on profitability of technical trading rules in the Stock Exchange of Thailand

description: Many researchers have applied technical trading methods to observe the likelihood of profitability from trading stocks in different stock markets around the world. However, when do technical trading indicators outperform the buy and hold strategy is still in doubt. Different factors such as different stock markets and different technical trading indicators play a crucial role in different results for profitability. This paper investigates the profitability of moving average, commodity channel index (CCI) and Bollinger bands indicators performing on 19 stocks, which had been listed consistently from 2007 to 2017 in the Thailand SET50 Index with different asset conditions. Sixteen asset conditions are constructed from volume and volatility of stocks and trading period. According to our study, Bollinger bands bottom reversal and CCI trend reversal trading strategies outperform buy and hold strategy for all asset conditions. However, moving average trading rules perform better than buy and hold strategy for the asset condition with high volatility stock, low volatility of trading period, low volume of stock and low volume trading period as well as the asset condition with high volatility stock, high volatility of trading period, low volume of stock and low volume trading period.
DOI: 10.14457/tu.the.2018.136
title: Inventory balancing in optimal order-up-to-level systems under power long lead time

description: In this research intends to propose a technique to determine an optimal order-up-to-level under a target service level requirement for a single item in a periodic review inventory control systems whose demand and lead time are stochastic and empirically distributed. In addition, the case of the lead time is longer than the review period is considered in the inventory simulation optimization.At first, the empirically determine the distributions of demand and lead time be demonstrated. Second, an inventory simulation optimization for a periodic review inventory policy, in which the lead time is longer than the review period is proposed. In this paper, a procedure to acquire an optimal order-up-to-level which not only improve the desired service level but also minimize the total inventory cost. Finally, the simulation-optimization is applied for a case study data obtained from an international trading company to illustrate its applicability in the real world.The results show the efficient technical solution to determine an optimal order-up-to-level that provides better performance, particularly in the service level and the total inventory cost.
DOI: 10.14457/tu.the.2018.137
title: Determination of optimal order-up-to-level and review period for inventory system under stochastic demand and lead time

description: Inventory management is a fundamental part for every successful business.The duty of inventory management is to balance the level of stock and customerdemand to obtain maximize the total inventory cost. To manage efficiently of inventorysystem, this model is developed with periodic review inventory policy to determineoptimal order-up-to-level and review period. Most of papers about periodic reviewinventory policy consider demand is theoretical distribution and deterministic of leadtime. Moreover, none of paper compute the model with over-capacity of warehouse.Under these problems, this research consider demand is empirical distribution withstochastic lead time and over-capacity problem. After develop the model, a heuristicalgorithm to find the optimal solution is proposed. Also, the numerical and simulationare presented to verify the model and Visual Basic Application (VBA) modelling isapplied to run experiment.
DOI: 10.17632/6n6ssn69ns.1
title: Data for: Ficus deltoidea: effects of solvent polarity on antioxidant and anti-proliferative activities in breast and colon cancer cells

description: Analyses of antioxidant activities and anti-proliferative effects of various solvent extracts of Ficus deltoidea
DOI: 10.14457/tu.the.2018.140
title: Semantic object classification using a similarity-based instance checking algorithm in description logics

description: Detecting an instance of an image object is a so-called problem of visual object detection. Traditional methods usually employ visual features to represent an image. A corresponding image category can then be identified either by matching corresponding visual features or using sophisticated classification models. Though, a good number of researches has been effectively explored and reported with good results, these methods usually ignore semantics analysis and formal representation. Besides an accuracy issue, the main objective is to achieve a new level of result quality while allowing semantic detection. One straightforward solution can be an employment of formal representations such as the family of Description Logics (DLs) and their associated reasoning services. This work introduces several frameworks for a semantic-object classification using a classical reasoner, a probabilistic reasoner, and a newly proposed similarity-based reasoner. While the first two frameworks produce a positive response only when sufficient concept conditions are fully satisfied, the similarity-based framework is designed to work with such an incompleteness. In fact, the computation method is based on a structural homomorphism and is particularly the extension of our proposed concept similarity measure. To model the knowledge base for an image object, three layers of concept hierarchy are proposed: a lower, an intermediate, and a higher layer. Starting from the lower layer, a presence of visual properties (e.g., a shapes and a color detected from within an image) is examined using several image processing techniques. These visual properties are mapped to primitive concepts defined in the lower layer of the knowledge base. More complex concepts are modelled in the upper layers.  The proposed frameworks have proven their usability through experiments on multi-view car images (i.e., a checking for car instances in a typical view).
DOI: 10.14457/tu.the.2018.141
title: การเสริมสร้างอธิปไตยทางอาหารของชาวนารายย่อยภายใต้อิทธิพลของเสรีนิยมใหม่: กรณีศึกษา ขบวนการการค้าข้าวที่เป็นธรรมในประเทศไทย

description: ดุษฎีนิพนธ์นี้ มีวัตถุประสงค์เพื่อศึกษาว่าขบวนการการค้าข้าวที่เป็นธรรมในประเทศไทยสามารถเสริมสร้างอธิปไตยทางอาหารให้กับชาวนารายย่อยในประเทศไทยได้หรือไม่ อย่างไร  โดยมุ่งเน้นการศึกษาใน 3 ประเด็น คือ 1) การเพิ่มโอกาสในการเข้าถึงตลาด 2) การเพิ่มอำนาจในการกำหนดและต่อรองราคา และ 3) การเพิ่มโอกาสในการเลือกวิธีการผลิตที่เกี่ยวข้องกับการปฏิบัติ และการใช้ความรู้ทางการผลิตการเกษตรแบบดั้งเดิมของท้องถิ่น วิธีการศึกษาเป็นการวิจัยทางเอกสารและการสัมภาษณ์ข้อมูลเชิงลึกกลุ่มองค์กรผู้ผลิตข้าวรายย่อยที่เข้าร่วมในขบวนการการค้าที่เป็นธรรม และสมาชิกชาวนาผลการศึกษา พบว่า ขบวนการการค้าข้าวที่เป็นธรรมไม่ได้ช่วยเสริมสร้างอธิปไตยทางอาหารให้แก่ชาวนารายย่อยในประเทศไทย เนื่องจาก ขบวนการการค้าข้าวที่เป็นธรรมไม่ได้ช่วยเสริมสร้างโอกาสและความสามารถให้แก่ชาวนารายย่อยใน 3 ประเด็นข้างต้น แม้ว่าเงื่อนไขทางการค้าของการค้าที่เป็นธรรมจะถูกอ้างว่าสามารถช่วยประกันสิทธิของชาวนารายย่อยได้ แต่ตราบเท่าที่เงื่อนไขทางการค้าของการค้าที่เป็นธรรมไม่ได้ช่วยเสริมสร้างความสามารถในการใช้สิทธิให้แก่ชาวนารายย่อยในการจัดการกับผลกระทบของการเปิดเสรีทางการค้า ขบวนการการค้าที่เป็นธรรมก็แสดงให้เห็นว่ายังคงไม่สามารถช่วยเสริมสร้างสิทธิในการกำหนดและตัดสินใจในระบบเกษตรและอาหารให้แก่ชาวนารายย่อยให้สามารถดำรงอยู่ภายใต้อิทธิพลของเสรีนิยมใหม่ได้
DOI: 10.5519/qd.hiv7ry1m
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (430687 records)
DOI: 10.5519/qd.pr1ckppk
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (323 records)
DOI: 10.17031/2hdzby
title: Infaunal SACFOR abundance data from underwater video footage from selected Special Areas of Conservation (SACs), Northern Ireland, 2017.

description: This dataset contains information on the SACFOR abundance of benthic infauna species from video footage from Skerries & Causeway Special Areas of Conservation (SAC) in Northern Irish waters. The selected SAC’s have previous multibeam data available for each site, therefore this project was to provide ground-truthing evidence for these habitats. This survey took place on 2017-09-25 to 2017-09-27 on board the RV Corystes. A towed sledge camera was used in this survey. The video sledge was attached by a 400m cable with a USBL system, scaling lasers and an ancillary GoPro. A 0.1m2 day grab was also used as further ground-truthing but this information is not included in this dataset. Particle size analysis and Carbon & Nitrogen analysis were also carried out (not included in this dataset). Information on the substrate was collected and is included in this dataset.
DOI: 10.5258/soton/d0912
title: Dataset for "On the universal trends in the noise reduction due to wavy leading edges in aerofoil-vortex interaction"

description: Dataset supports: Turner, J., & Kim, J. (2019). On the universal trends in the noise reduction due to wavy leading edges in aerofoil-vortex interaction. Journal of Fluid Mechanics.