A Framework of Personalized Travelling Information Services for Thailand

2014 ◽  
Vol 931-932 ◽  
pp. 1382-1386 ◽  
Author(s):  
Duangduen Asavasuthirakul ◽  
Antony Harfield ◽  
Kraisak Kesorn

Planning each comprehensive trip is regarded as a complicated and time-consuming task which includes the process starting from searching specific tourist information to planning an itinerary in unfamiliar areas. In response to the decision making challenges that tourists may encounter in planning a trip or discovering a destination, this paper proposes an integrated framework for a system supporting tourists in Thailand. The aim of the framework is to provide a service that considers data from a variety of sources, including static and social data, and then recommends points of interest (POI) and itineraries for POI, based on the requirements and interests of the user. The framework consists of three components: a personalized POI recommendation engine, an itinerary planner, and a mobile application. Together these form the foundation of a personalized travelling information system for Thailand. This paper outlines the basic framework and provides a discussion on the potential issues encountered.

2020 ◽  
Vol 1 (1) ◽  
pp. 28-50
Author(s):  
Sven Gross ◽  
Dominik Huber

In recent years more and more tourist information boards have been put up on German motorways. Little research exists with regard to the effects of these information boards. A qualitative research approach was used and 29 semi-structured interviews were conducted to increase knowledge about the relationships between tourist information boards and related tourism behaviour. A model was developed which integrates the elements perception of tourist motorway signage, its memory effects and tourism decision-making processes. Findings suggest that spontaneous driving off the motorway is rarely found and points of interest are more likely to be visited after the trip or used as travel inspiration. This study shows for the first time that tourist information boards can play an important role in tourism decision-making processes and resulting behaviours.


Author(s):  
Nguyen Viet Hung ◽  
Phan Van Hung ◽  
Be Trung Anh

Data mode “good governance” developed in the last century for process of sustainable base system, providing basic information and on-line services, supports the development, challenges and opportunities in the context of globalization and integration. In this paper I discuss a framework for the design of e-Local Governance (eLG) that integrates Information System (IS), Geographical Information System (GIS) and Atlas with focus on ethnic minorities in Vietnam. The design framework is based on various classifications such categories as sex, age, ethnic group, education background and income. The database system is built to enhance the Committee for Ethnic Minority Affairs (CEMA) capabilities in the planning and decision making process by providing the authorities with data, internet GIS, internet communication and some ecological economic models to disseminate results to the ethnic minorities. The unique feature of the CEMADATA using GIS is that it helps users not only to improve the public services and to provide information and encourage ethnic minorities to participate in decision making processes, but also to support the competency-based training for IT staff


2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.


Author(s):  
I. М. Mikhaylenko ◽  
V. N. Timoshin

The transition to "intellectual" agriculture is the main vector of modernization of the agricultural sector of the economy. It is based on integrated automation and robotization of production, the use of automated decision-making systems. This is inevitably accompanied by a significant increase in data flow from sensors, monitoring systems, meteorological stations, drones, satellites and other external systems. Farm management has the opportunity to use various online applications for accurate recommendations and making various kinds of management decisions. In this regard, the most effective use of cloud information technologies, allowing implementing the most complex information and technical level of automation systems for management of agricultural technologies. The purpose of this work is to test the approach to creating expert management decision support systems (DSS) through the knowledge base (KB), formed in the cloud information system. For this, we consider an example of constructing a DSS for choosing the optimal date for preparing forage from perennial grasses. A complete theoretical and algorithmic database of the analytical DSS implemented in the data processing center of the cloud information system is given. On its basis, a KB is formed for a variety of different decision-making conditions. This knowledge base is transmitted to the local DSS. To make decisions about the optimal dates for the preparation of the local DSS, two variants of algorithms are used. The first option is based on management models, and the second uses the pattern recognition method. The approbation of the algorithms was carried out according to the BZ from 50 cases. According to the results of testing, the method of pattern recognition proved to be more accurate, which provides a more flexible adjustment of the situation on the local DSS to a similar situation in the KB. The considered technique can be extended to other crops.


2020 ◽  
pp. 31-34
Author(s):  
CHUNMEI JI

The study considers the problem of decision-making in the actvites of agricultural enterprises in conditons of environmental uncertainty. The problem is formalized as a multcriteria conditonal optmizaton problem. The novelty of the work is that the factors are considered as dynamic fuzzy quanttes. The choice of the best alternatve is made between the elements of a predetermined fnite set of alternatves. Based on this formalizaton of the decision-making task, six requirements to the informaton system of decision support in the conditons of ecological uncertainty are formulated.


2016 ◽  
Vol 5 (3) ◽  
pp. 47-70 ◽  
Author(s):  
Maria Spichkova ◽  
Margaret Hamilton

This paper presents a formal model of a decision making system for public transport routes. The approach focuses on (1) environmental and societal sustainability aspects of green software engineering, (2) spatial planning and optimisation for smarter sustainable cities, and (3) user satisfaction with this information system for the various contexts of passenger, driver and overall system view.


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