A Study on Tourism Route Planning Method Based on Association Rule Mining

2014 ◽  
Vol 543-547 ◽  
pp. 3674-3677
Author(s):  
Yu Xia Wang
Keyword(s):  
Electronic Commerce ◽  
Recommendation System ◽  
Hot Spot ◽  
Low Cost ◽  
Route Planning ◽  
User Interaction ◽  
Developed Countries ◽  
Tourism Industry ◽  
Business In China ◽  
Industry Planning

In recent years, electronic commerce with the convenience and low cost and wide spread has quickly participated in the tourism industry. [This model marks the new mode of electronic commerce. Tourism is information intensive and information based on industry, leading to walk on the tourism electronic commerce. In developed countries, the development of tourism electronic business in China is still lagging behind that in the west, which is also active in the exploration stage. Hot spot in the current research on electronic commerce recommendation system mainly focus on how to improve the efficiency and accuracy of goods, through the interface and user interaction, providing recommendation for users to help users find the products. Thus completing the purchase process improves user loyalty for his website, users won more favor. Electronic commerce recommendation systems in theory and application have been greatly developed, but there are also a series of challenges and problems, while the tourism industry planning and tourism development do not take full advantage of the related technology.

scholarly journals Calibrations of Low-Cost Air Pollution Monitoring Sensors for CO, NO2, O3, and SO2

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 256
Author(s):  
Pengfei Han ◽  
Han Mei ◽  
Di Liu ◽  
Ning Zeng ◽  
Xiao Tang ◽  
...  
Keyword(s):  
Random Forest ◽  
Linear Regression ◽  
Short Term Memory ◽  
Hot Spot ◽  
Low Cost ◽  
Field Evaluation ◽  
Pollution Monitoring ◽  
Coefficient Of Determination ◽  
Air Pollution Monitoring ◽  
National Monitoring

Pollutant gases, such as CO, NO2, O3, and SO2 affect human health, and low-cost sensors are an important complement to regulatory-grade instruments in pollutant monitoring. Previous studies focused on one or several species, while comprehensive assessments of multiple sensors remain limited. We conducted a 12-month field evaluation of four Alphasense sensors in Beijing and used single linear regression (SLR), multiple linear regression (MLR), random forest regressor (RFR), and neural network (long short-term memory (LSTM)) methods to calibrate and validate the measurements with nearby reference measurements from national monitoring stations. For performances, CO > O3 > NO2 > SO2 for the coefficient of determination (R2) and root mean square error (RMSE). The MLR did not increase the R2 after considering the temperature and relative humidity influences compared with the SLR (with R2 remaining at approximately 0.6 for O3 and 0.4 for NO2). However, the RFR and LSTM models significantly increased the O3, NO2, and SO2 performances, with the R2 increasing from 0.3–0.5 to >0.7 for O3 and NO2, and the RMSE decreasing from 20.4 to 13.2 ppb for NO2. For the SLR, there were relatively larger biases, while the LSTMs maintained a close mean relative bias of approximately zero (e.g., <5% for O3 and NO2), indicating that these sensors combined with the LSTMs are suitable for hot spot detection. We highlight that the performance of LSTM is better than that of random forest and linear methods. This study assessed four electrochemical air quality sensors and different calibration models, and the methodology and results can benefit assessments of other low-cost sensors.

Building Electronic Commerce Recommendation System Based on Ontology Learning and BP Neural Network

2013 ◽  
Vol 718-720 ◽  
pp. 1961-1966
Author(s):  
Hong Sheng Xu ◽  
Qing Tan
Keyword(s):  
Neural Network ◽  
Electronic Commerce ◽  
Bp Neural Network ◽  
Optimization Problem ◽  
Recommendation System ◽  
High Efficiency ◽  
Ontology Learning ◽  
The Neural Network ◽  
Network Process ◽  
Hidden Layer

Electronic commerce recommendation system can effectively retain user, prevent users from erosion, and improve e-commerce system sales. BP neural network using iterative operation, solving the weights of the neural network and close values to corresponding network process of learning and memory, to join the hidden layer nodes of the optimization problem of adjustable parameters increase. Ontology learning is the use of machine learning and statistical techniques, with automatic or semi-automatic way, from the existing data resources and obtaining desired body. The paper presents building electronic commerce recommendation system based on ontology learning and BP neural network. Experimental results show that the proposed algorithm has high efficiency.

A promising ternary sulfide bidirectional p-n heterojunction for unassisted tandem photoelectrochemical cell

2021 ◽  
Author(s):  
Hongxia Qian ◽  
Zhifeng Liu ◽  
Zhengang Guo ◽  
Mengnan Ruan ◽  
Weiguo Yan
Keyword(s):  
High Efficiency ◽  
Hot Spot ◽  
Low Cost ◽  
Photoelectrochemical Cell ◽  
Ternary Sulfide

Investigating high-efficiency, low-cost and abundant photoelectrode materials has always been a hot spot for researchers to attention in photoelectrochemical (PEC) system. Here we firstly study the PEC performance of ternary...

Carbon footprint inventory route planning and selection of hot spot suppliers

2014 ◽  
Vol 150 ◽  
pp. 125-139 ◽  
Author(s):  
Tsai Chi Kuo ◽  
Gary Yu-Hsin Chen ◽  
Miao Ling Wang ◽  
Ming Way Ho
Keyword(s):  
Carbon Footprint ◽  
Hot Spot ◽  
Route Planning ◽  
Selection Of

scholarly journals International trade in services and inequalities

2016 ◽  
Vol 23 (5) ◽  
pp. 1069-1075 ◽  
Author(s):  
Sylvain Petit
Keyword(s):  
Wage Inequality ◽  
Developed Countries ◽  
Tourism Industry ◽  
Skilled Workers ◽  
Business Services ◽  
Long Run ◽  
Short Run ◽  
Unskilled Workers ◽  
Tourism Services ◽  
The Impact

This study investigates the impact of the international openness in tourism services trade on wage inequality between highly skilled, semi-skilled, and unskilled workers in the tourism industry. The sample covers 10 developed countries and expands over 15 years. A cointegrated panel data model and an error correction model were used to distinguish between the short- and long-run effects. The results are compared to those of openness of business services and manufactured goods. The findings point out that tourism increases wage inequality at the expense of the least skilled workers in the long run and the short run.

How electronic word of mouth (e-WOM) triggers intention to visit through destination image, trust and satisfaction: the perception of a potential tourist in Japan and Indonesia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ida Bagus Putu Purbadharmaja ◽  
Putu Yudi Setiawan ◽  
Toshikatsu Hayashi ◽  
Anak Agung Bagus Putu Widanta
Keyword(s):  
Peer Review ◽  
Word Of Mouth ◽  
Structural Model ◽  
Developed Countries ◽  
Tourism Industry ◽  
Online Discussions ◽  
Theory And Practice ◽  
Destination Image ◽  
Electronic Word Of Mouth ◽  
Content Type

PurposeThe purpose of the paper is to analyze the different results between the effects of electronic word of mouth (e-WOM) on the perception of potential tourist in Japan and Indonesia regarding destination image, destination trust, satisfaction and their intention to visit.Design/methodology/approachThis research method is a structural model. Based on the existing literature review, several variables were obtained which were then analyzed by WarpPLS 6.0 software. The sampling method applied in this study is the purposive sampling technique. Samples of 200 potential tourists were collected in Indonesia and 100 potential tourists were collected in Japan. The population in this study was a potential tourist in Indonesia and Japan, with the following criteria: An Indonesian citizen, age between 19 and 60 years, who has never visited Japan and a Japanese citizen who has never visited Indonesia and have ever read or conduct online discussions regarding Japan and Indonesia as a tourist destination.FindingsThe results of the analysis of the two respondents in Japan and Indonesia prove that e-WOM has a positive effect on the image of the destination and intention to visit but not on the confidence of the destination. Destination image was also proven to significantly mediate the influence of e-WOM on intention to visit. These findings bring important implications for the theory and practice of tourism marketing.Originality/valueTheoretically, the result could be used as a reference for further research about the comparison between the effect e-WOM on destination image, destination trust and intention to visit of potential tourist in developed countries and developing countries. Practically, the result could be used as a consideration for the tourism industry and authority in both countries when formulating the destination marketing strategy.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2019-0111

scholarly journals Toxoplasmosis serology: an efficient hemagglutination procedure to detect IgG and IgM antibodies

1989 ◽  
Vol 31 (4) ◽  
pp. 279-285 ◽  
Author(s):  
M.E. Camargo ◽  
Maria Emilia G. Moura ◽  
P.G. Leser
Keyword(s):  
Simple Procedure ◽  
Low Cost ◽  
Protein A ◽  
Developed Countries ◽  
Serum Samples ◽  
Serum Dilution ◽  
Specific Antibodies ◽  
Igm Antibodies ◽  
Diagnostic Capability ◽  
Acute Toxoplasmosis

In search of an efficient but simple, low cost procedure for the serodiagnosis of Toxoplasmosis, especially suited for routine laboratories facing technical and budget limitations as in less developed countries, the diagnostic capability of Hematoxo® , an hemagglutination test for toxoplasmosis, was evaluated in relation to a battery of tests including IgG- and IgM-immunofluorescence tests, hemagglutination and an IgM-capture enzymatic assay. Detecting a little as 5 I.U. of IgG antitoxoplasma antibodies, Hematoxo® showed a straight agreement as to reactivity and non-reactivity for the 443 non-reactive and the 387 reactive serum samples, included in this study. In 23 cases presenting a serological pattern of acute toxoplasmosis and showing IgM antibodies, Hematoxo® could detect IgM antibodies in 18, indicated by negativation or a significant decrease in titers as a result of treating samples with 2-mercapto-ethanol. However, a neat increase in sensitivity for IgM specific antibodies could be achieved by previously removing IgG from the sample, as demonstrated in a series of acute toxoplasmosis sera. A simple procedure was developed for this purpose, by reconstituting a lyophilized suspension of Protein A - rich Staphylococcus with the lowest serum dilution to be tested. Of low cost and easy to perform, Hematoxo® affords not only a practical qualitative procedure for screening reactors and non-reactors, as in prenatal services, but also quantitative assays that permit to titrate antibodies as well as to identify IgM antibodies.

scholarly journals Internationalisation at home for tourism training programmes: case studies from Vietnam

2018 ◽  
Vol 12 (1) ◽  
pp. 19-35
Author(s):  
Cam Thi Hong Khuong ◽  
Ly Thi Tran
Keyword(s):  
Case Studies ◽  
Ad Hoc ◽  
Developed Countries ◽  
Research Strategy ◽  
Tourism Industry ◽  
Global Competency ◽  
Content Type ◽  
Internationalisation At Home ◽  
English Speaking ◽  
Training Programmes

Purpose Tourism is one of the most notable features of the contemporary globalised world. The tourism industry is becoming increasingly vital to the economy of many developing and developed countries around the globe. The demand of the tourism industry has posed a challenge for tourism training providers to move towards a more responsive and internationalised curriculum to enhance work readiness for tourism graduates who are expected to work with an increased number of international tourists. The purpose of this paper is analyse whether and how internationalisation has been implemented in the tourism training programmes across six institutions in Vietnam. Design/methodology/approach The research deployed case studies as research strategy with interviews and document analysis as two instruments of data collection. Findings The major findings show that even though the tourism industry demands graduates to possess global competency, knowledge and skills, the curriculum does not prioritise the internationalisation dimensions and the faculty members are not facilitated to be internationally active in their roles. Overall, internationalisation is still fragmented and ad hoc in these institutions even though the private institutions in this research appear to be more responsive to the trend of internationalisation in education than their public counterparts. Research limitations/implications The paper provides recommendations on how to effectively embed internationalisation components into local tourism training programs in Vietnam. Originality/value The research bridges the gap in the literature on internationalisation of the local tourism programme in non-English-speaking countries.

scholarly journals Spatial Pattern and Hotspots of Urban Rail Public Transport to Public Access Using Geospatial Techniques in Selangor, Malaysia

2021 ◽  
Vol 6 (1) ◽  
pp. 234-244
Author(s):  
Mohd Sahrul Syukri BIN Yahya ◽  
Edie Ezwan Mohd Safian ◽  
Burhaida Burhan
Keyword(s):  
Open Access ◽  
Spatial Pattern ◽  
Public Transport ◽  
Public Transportation ◽  
Spatial Information ◽  
Hot Spot ◽  
Developed Countries ◽  
Transportation Systems ◽  
Gis Mapping ◽  
Urban Public Transport

Currently, the trends in urban public transport have been changing over the years in developing countries for mobilization and accessibility development. Urban public transportation systems are the most popular in Selangor State, including big cities such as the Klang Valley Region. Objective measures of spatial pattern and hotspots have been used to understand how urban public transport development relate to open access. This method relies on specific spatial information and available web-based tool that shows the pattern primarily based on given vicinity and statistics connectivity. To date, several studies have finished tested in developed countries. In this study, we use Geographic Information Systems to analyse and consider hotspots identification precisely and efficaciously. Therefore, in this paper, we focus on two types of point sample evaluations – Gi* hot spot and point density analysis evaluation as statistical operations. Public rail transport was evaluated as a validation to describe the percentage of distribution of open access. The final result, GIS mapping capabilities to show that GIS's technology offers to the variation of urban public transport relate to public services, is to create maps and spatial interpretations.

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