cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2016.1452
title: Cargo container loading optimization under uncertainty

description: The research presents the decision making of air freight forwarders on planning for renting air containers and loading cargos into the rented containers under the cost optimization. Cargos in this study are considered to be transported from regions to a hub first for unloading, sorting, and then being delivered to destinations. In this research, two models were formulated for forwarders in making plan to rent air containers from airlines at regions and hub. The decision is based on demand information provided by shippers. The first is deterministic model with certain demand information. It applies for regular shipment when demand is known. The second is stochastic model with demand uncertainty and is applicable for irregular shipment especially during seasonal time period. The models distinguish from the previous works by adding constraints related to container volume and weight limit as well as available container quantity provided by airlines. Also, a new idea of two-phase decision approach was proposed to improve computing time and to solve large size problems. Computational results from two-phase method are obtained within reasonable time and can solve larger problems than the original models.
DOI: 10.14457/tu.the.2016.1453
title: Supply chain collaboration of Thai firms

description: In a competitive international business environment, firms utilize supply chain collaboration to improve firm performance. The objective of this paper is to investigate the nature of collaborations by Thai firms and the impacts on firm performances. The main focus is on exploring the collaboration-related factors such as firm’s intention, firm’s technological capability, knowledge management, collaboration approaches, and innovation which lead to improved firm performance. Survey data from 139 manufacturing firms in Thailand were analyzed using multiple regression analyses. The results showed that firm’s intention, technological capability, knowledge management and collaboration have significant effects on improved productivity.
DOI: 10.14457/tu.the.2016.1454
title: Factors affecting cost in a construction project: pre-construction and construction phases

description: Cost performance in the construction industry is important to enhance the industry standard and grow the country is economic. This study examines key factors affecting cost in a construction project, specifically in pre-construction and construction phases. The exploratory factor analysis results confirm a total of seven key factors, three in pre-construction phase, namely 1) Lack of Coordination, 2) Design Management, 3) Unclear Client's Requirement, and four in construction phase, including 1) Site Management, 2) Resources, 3) Labor Capability, and 4) Contract-related. The relationships among the seven key factors are examined utilizing a structural equation modeling. The results confirm strong relationships, directly and indirectly, among three key factors in pre-construction phase. The influences three factors in pre-construction phase have on the four factors in construction phase are also supported. It is expected that a construction company uses the study results to better understand relationships between key factors affecting cost, and plan for cost improvement.
DOI: 10.14457/tu.the.2016.1455
title: The analysis of smart phone and social media usage while driving of drivers in Bangkok

description: Driving and talking or using a smart phone has long been recognized as dangerous activity which could result in injuries and fatalities. However, many people are still using smart phone while they are driving although they know it is dangerous. The extremely increasing trend in using social media also makes the number of people using smart phone while driving rising as they purpose is not for calling only. This paper focuses on the determination of functions of smartphone application that affect the decision to use smart phone while driving. The questionnaires survey was conducted through direct survey and internet randomly distributing to Thai people who is older than 18 years old and be able to drive any vehicles in Bangkok area. Then the Regression was used to analyze the data. The factors to be investigated are features of each social media applications such as notification, chatting, or updating status, and etc. The outcomes obtained is the insight knowledge about which applications and features are most used by Thai people while driving. Also, this could be developed to be policy recommendations to government entities and suggestion to the application makers to have some restriction about the usages of application while driving.
DOI: 10.14457/tu.the.2016.1456
title: The decision making of freight route in multimodal transportation between Thailand and Cambodia

description: This paper develops a framework for route selection in multimodal transportation about the case study of transportation from Thailand to Cambodia in beverage industries. The optimized route can help optimize cost, lead time, and risk in the systems. The route selection process applies a five phases framework to determine an optimal multimodal route. The first phase is to define areas of study and identify all the related routes.  The second phase is to calculate time and cost of each route. The third phase is to integrate quantitative and qualitative decision making which are assessed by the experts or Logistics Service Providers for each criterion. The fourth phase is to prioritize criteria by using Analytic Hierarchy Process. The final phase is to optimize the route by using the Zero-one goal programming.  The results have shown that the approach can provide guidance in choosing the optimal cost, time and risk effectively.
DOI: 10.14457/tu.the.2016.1457
title: An association between cassava pledging scheme and the financial performance of cassava product manufacturer

description: This paper involves a study that investigates the association between government pledging program and the financial performance of cassava product manufacturers in Thailand using multiple linear regression modelling. Financial performance in terms of return on equity was the response variable obtained from financial statement of the year after the pledging program. The list of manufacturers who joined the pledging program is the key research variable. Internal factors and financial statement of 24 samples of starch manufacturers and 12 chip manufacturers were collected and treated as control variables. The results indicate that there is a positive association between manufacturers’ financial performance and participating in the pledging program. The study also investigated characteristics of companies that joined the pledging program using binary logistics regression.
DOI: 10.14457/tu.the.2016.1458
title: Optimal promotion prices facing strategic customers with setup cost

description: This paper studies the two-stage supply chain consisted of a single retailer who sells multiple products to multiple strategic customers. The retailer as the leader of the game, who aims to maximize profits, announces the retail promotion information, whereas the strategic customers, who are the followers, response to the given promotion and make purchasing decision to minimize total shopping cost.  The bi-level programming model is developed to find the optimal price discount promotion. The transformation of bi-level model to an equivalent single level model is created by applying duality theory and linearizing the model in order to solved by IBM ILOG CPLEX software. In numerical experiments, we investigate the four key parameters which effect retailer’s decision on optimal promotion policy: (1) Wholesale price (2) Inventory holding cost of retailer, (3) Competitor price, and (4) Transportation cost of customers. The main contribution is we prove that the optimal solution solving by linear programming model and integer programming model is equal. Moreover, the model can provide the optimal promotion plan which concerns both retailer and customers’ objectives at once which is suitable for managers in retail business and researchers in academic area.
DOI: 10.14457/tu.the.2016.1459
title: Cost analysis and performance optimization of wire-EDM as alternative to product prototyping for the hard-to-machine based material

description: Wire-EDMing operation was a well-known advanced machining technology due to its ability to cut the hard materials. The wire-EDM can provide a very good surface cut with high cutting accuracy. It has been used in various industrial applications such as aerospace industry, mobile industry and surgical tool industry. Due to the complexity and stochastic machining process, the performance of the wire-EDM is based on the proper selection of the machining parameters. This study aimed to investigate the effect of machining parameters such as servo voltage, pulse on time, pulse off time, wire feed and wire tension on the output performance namely machining cost, MRR, surface roughness and machining accuracy. Taguchi’s utility concept was utilized to perform the multiple objective optimization in order to obtain the optimal setup of wire-EDMing parameters with respect to the interested outputs. In order to reduce the machining cost, an investigation of multiple layer cutting strategy was provided, including the output comparison between the single layer case and multiple layer case. Moreover, an investigation of wire-EDMing characteristics on machining the multi-contour part also provided with the two different case study. Finally, a micrograph analysis was added to clearly visualize the machining parameters effect on the cut quality.
DOI: 10.17632/nszhpc9f7n.1
title: Data for: Comparison of climate vulnerability among desert herpetofauna

description: Qualitative vulnerability calculations for 25 desert amphibian and reptile species using NatureServe's Climate Change Vulnerability Index version 3.0. Analyses are done across 4 spatial scales and three climate scenarios. We used four types of spatial data, including point data, minimum convex polygons based on the point data, range data clipped to the desert region, and range data clipped to the contiguous United States. We used climate data from the Coupled Model Intercomparison Project (CMIP) 5 for Representative Concentration Pathways (RCP) 2.6, 6.0, and 8.5. Each file is a species x spatial data x climate data model.
DOI: 10.14457/tu.the.2016.1460
title: Enhanced optimal inventory control policies of perishable products in a retail business: a comparative simulation study under different cost structures

description: Efficient inventory management in retail businesses for perishable products can help reduce large costs since these products are likely to deteriorate, and their quality varies with time. This paper experiments with different replenishment policies of inventory control for retail store planning, which considers shelf life and uncertain operating conditions. A simulation-based optimization model for various perishable products inventory control policies is carried out using ARENA and an added-in Genetic Algorithm for the optimization process. The main contribution of this research is to recommend the best replenishment policy in a certain situation by enhancing different inventory management policies. The net profits of different policies are compared under variable cost structures to find whether enhancing a typical periodic review policy with another policy can lead to a better outcome. It was found that enhancing a typical periodic review policy with a backroom and a reorder level policy helps a shop to significantly gain a higher net profit. In some instances, integrating both of them together can outperform implementing them alone, as they can complement each other. The finding also suggests that enhancing the base policy with a mechanism to screen out bad items before reaching the customers may not be so useful if the removed items cannot be sold to generate extra revenue for the shop, or the loss of goodwill is not the shop’s main concern. Results from the study can help shop managers to make right decisions on the optimal inventory policy of perishable products under an uncertain environment.
DOI: 10.14457/tu.the.2016.1461
title: Vision-based hand gesture recognition for real-time embedded system platforms

description: The purpose of this thesis is to develop a real-time, vision-based hand gesture recognition system on an embedded platform that can be used for accurate and efficient human-machine interaction under dynamic lighting conditions. A monocular camera will be employed to capture a human user situated 50-80 cm from the system to control media playback of an MP3 player using six different hand gestures. The application design is divided into three main parts, including image processing, control interface, and MP3 playback. The image processing part includes camera interfacing, hand segmentation, and finger detection. The control interface consists of a finite machine to connect the output of hand gesture recognition with MP3 playback commands. The real-world problem of changes in light intensity and illumination is directly considered by using HSV color segmentation and UGV background subtraction to provide accurate performance, sensitivity, and robustness in both dim and bright conditions. This is then combined with top-hat transform to produce a simple and precise algorithm for recognizing hand gestures, which includes open palm (OP), forefinger (FF), forefinger and thumb (FT), fist (FS), leftward thumb (TL), and rightward thumb (TR). In addition, the execution time of the algorithm is analyzed onan embedded system. By using parallel processing and multi-thread programming to handle the recognition of both the left and right hand regions simultaneously, the average processing time is found to be 545 ms or approximately 1.83 fps, which is sufficient to ensure smooth operations.
DOI: 10.14457/tu.the.2016.1464
title: Optimization model for online hotel reservation website

description: Online hotel reservation website has become an important reservation channel for the tourism service in recent years. However, in order to survive in the competitive online channel, an online hotel reservation website needs to provide the superior service on both of the product dimension (e.g., an appropriate price) and the website dimension (e.g., a usefulness of product sequencing functionality) to facilitate the searching process and satisfy the customer’s need.         In this dissertation, two aspects of online hotel booking were studied to response the current issues. That is, we studied (i) the sequencing decision of hotel room choices presented on the website and (ii) the pricing decision of sale conditions based on the no show and cancellation policy.       In the first study, we investigated customer behaviour during the process of searching for a hotel and making a reservation decision through an online hotel reservation website. We developed “a stochastic programming model” to design an appropriate sequence of hotel choices. The result shows the effectiveness of the sequence sorted by our proposed model, compared to the existing sequences sorted by the online reservation website (e.g., sequencing by price and star rating). Furthermore, we highlight a practical application of the proposed model that can provide an improvement suggestion for a hotel to compete in the current competitive market.        In the second study, we proposed “a pricing model” which incorporates two sale conditions based on cancellation policy along two reservation periods. In the normal period, “Mild condition” is offered at the higher price with “full refund policy” or “partial refund policy for cancellation”. In the last minute period, “Restriction condition” is offered to sale an unsold room for the last minute customers at the lower price with “non-refund policy for cancellation”. The model determines the optimal price of sale conditions so that total profit of hotel is maximized. Furthermore, our results make managerial insights for a hotel manager in practice.       We expected that, with the analysis of sequencing decision and pricing decision, the online hotel reservation website could deliver the online reservation service together with the hotel room service that meet the customer’s need. Also, the online reservation website and the hotelier could increase the reservation rate and gain higher profitability.
DOI: 10.14457/tu.the.2016.1465
title: Scheduling algorithm of a smart distribution transformer energy management system with electric vehicle home charger

description: This thesis studies scheduling algorithm of a smart distribution transformer energy management system with electric vehicle home charger. Increasing in fuel prices and environmental concerns such as global warming have led to alterations in the configuration of power systems. Electric vehicles (EV) are increasingly utilized and charged their batteries at homes. The increasing of electricity demand at home from EV charging load (EV load) may overload and damage distribution grid or distribution transformer (DTR). In this work, we focus on optimization of a smart distribution transformer energy management system (TEMS) with EV load, subject to constraints of DTR loading and voltage imbalance of the DTR. The thesis assumes that there is a two-way real-time communication infrastructure among the DTR’s and EV loads. It uses for communicatation between a utility and a customer. We propose an algorithm to schedule EV loads to maximize the minimum final state of charge of all EV’s batteries.From the simulation results, the proposed algorithm (TEMS) can manage the DTR load that meets its loading and voltage imbalance constraints. In addition, the energy tariff is adjusted dynamically and the utility is allowed to manage special loads such as EV charging loads for system stability and impact to the base load and the distribution grid.
DOI: 10.17632/sywh3yh6hm.1
title: Data for: Attention Capture, Processing Speed, and Inattentional Blindness
DOI: 10.5255/ukda-sn-6029-4
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Local Education Authorities
DOI: 10.5255/ukda-sn-6030-4
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Primary Care Trusts
DOI: 10.5255/ukda-sn-6031-4
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Travel to Work Areas
DOI: 10.5255/ukda-sn-6032-4
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Rural-Urban Indicators
DOI: 10.5255/ukda-sn-6033-4
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Westminster Parliamentary Constituencies
DOI: 10.5255/ukda-sn-6290-4
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence  Access, Area Classification for Output Areas (OAC)
DOI: 10.5255/ukda-sn-7447-3
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Acorn Type 2013
DOI: 10.5255/ukda-sn-7448-3
title: British Household Panel Survey, Waves 1-18, 1991-2009: Special Licence Access, Strategic Health Authority
DOI: 10.5281/zenodo.1316912
title: Matejcic Et Al. 2018 Data Release

description: Dataset and scripts from study Matejčić et al. 2018. PLoS Biology, on isotropic growth of the embryonic zebrafish retinal tissue.
description: {"references": ["Matejcic et al. (2018)"]}
DOI: 10.5517/ccdc.csd.cc1zst7t
title: CCDC 1841097: Experimental Crystal Structure Determination

description: Related Article: Dimitris I. Alexandropoulos, Luis Cunha-Silva, Jinkui Tang, Theocharis C. Stamatatos|2018|Dalton Trans.|47|11934|doi:10.1039/C8DT01780H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.3886/icpsr37063.v1
title: Uniform Crime Reporting Program Data: Property Stolen and Recovered, United States, 2016
title: Version 1

description: The UNIFORM CRIME REPORTING PROGRAM DATA: PROPERTY STOLEN AND RECOVERED, UNITED STATES, 2016 file (also known as the Supplement to Return A) is collected at the agency level and includes detailed monthly data on the nature of crime and the value and type of property stolen and recovered incident to each crime. The Return A Supplement requires that a value be established for property stolen and recovered in each Crime Index category except aggravated assault. It is designed to record the value of property stolen and recovered in the following eleven classifications: Currency/notes, Jewelry and Precious Metals, Clothing and Furs, Locally Stolen Motor Vehicles, Office Equipment, Televisions/Radios, Firearms, Household Goods, Consumable Goods, Livestock, and Miscellaneous. The determination of the value of property stolen is an obligation of the investigating officer, and such information is essential to assure the completeness of a law enforcement investigative report on stolen property. The data were originally assembled by the Federal Bureau of Investigation (FBI) from reports submitted by agencies participating in the UCR. The ICPSR file was processed from Return A Supplement files provided by the FBI.
description: ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of 
				disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major 
				statistical software formats as well as standard codebooks to accompany the data. In addition to 
				these procedures, ICPSR performed the following processing steps for this data collection:
			   		Performed consistency checks.; Checked for undocumented or out-of-range codes..
description: Datasets: 
					
						DS1: Dataset
description: Uniform Crime Reporting Program Data Series
description: self-enumerated questionnaire
description: Property crimes reported by law enforcement agencies in the United States.
DOI: 10.5517/ccdc.csd.cc1zst8v
title: CCDC 1841098: Experimental Crystal Structure Determination

description: Related Article: Dimitris I. Alexandropoulos, Luis Cunha-Silva, Jinkui Tang, Theocharis C. Stamatatos|2018|Dalton Trans.|47|11934|doi:10.1039/C8DT01780H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zst9w
title: CCDC 1841099: Experimental Crystal Structure Determination

description: Related Article: Dimitris I. Alexandropoulos, Luis Cunha-Silva, Jinkui Tang, Theocharis C. Stamatatos|2018|Dalton Trans.|47|11934|doi:10.1039/C8DT01780H
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc1zsx4t
title: CCDC 1841187: Experimental Crystal Structure Determination

description: Related Article: Stefanie Dehnen, Niels Lichtenberger, Yannick Franzke,  Werner Massa, Florian Weigend|2018|Chem.-Eur.J.|24|12022|doi:10.1002/chem.201802382
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.