Organization of the business process of a real estate agency, using an information system supported by a regression model

The effectiveness of the functioning of the real estate market depends on the level of development of the management structure of enterprises. It is necessary to create an information and analytical base that meets the requirements and wishes of the client. This product should have functions that simplify the process of searching and selling real estate, and also have a positive effect in the activities of the real estate agency. [B 15] We created an information system of the real estate agency, which is aimed at satisfying the needs of the client and increasing the comfort when using the product. The first step was to conduct an analytical study of the real estate agency "Galleon", the main organizational charts were reflected, the agency's activities were described in detail. Next, it was necessary to make demands on the future information system. On UML - Diagrams, the functions and processes of the future program were described in detail, the roles of the main actors were characterized. All the diagrams were built in the program "IBM Rational Rose". The next step was the development and construction of a mathematical model for calculating the cost of the apartment. At this stage, we used the package for regression analysis included in the MS Office Excel. The final stage was the development of the main product - the information system of the real estate agency. The program was created using Visual Studio 2017, on the ASP.NET platform. The C # programming language was used. The information system database was implemented usign markup language – XML

REMOTE MONITORING AND CONTROL OF A RECONFIGURABLE SYSTEM USING A WEB INTERFACE

ThesisThe assembly system at the Research Group in Evolvable Manufacturing System (RGEMS) is designed to assemble products part by part and also ensuring good quality products. This system uses different kinds of industrial devices that are integrated in a way that the devices are dependent on each other in order to work properly on a production cycle. The disadvantage of systems of this nature is that if one of the devices malfunctions and is not attended to, the production line will get affected, which will cost time and money. In order to ensure that malfunctioning of devices is acknowledged in time, the system devices must be monitored while busy in progress; this is normally done by a system operator who uses a computer and checks if there is any change in system data using a Supervisory Control and Data Acquisition (SCADA) system. This is, however, inconvenient in that the system operator can only monitor and control the system when connected to the system’s network. Today we live in a wireless world, where anything can be accessible from anywhere in the world; internet and web technologies made all this possible. It was therefore proposed to design a system that can monitor and control the assembly system from a remote location. This system uses OLE Process Control (OPC) technology and web technology in order to read and write data to the system from the OPC server through the internet. This data is presented on a web user interface where it is viewed as analogue or digital data. The user only needs the internet browser installed to his/her computer or smart phone and also to be authorized by the system administrator in order to be able to monitor and control the system

An Empirical Investigation of Collaborative Web Search Tool on Novice\u27s Query Behavior

In the past decade, research efforts dedicated to studying the process of collaborative web search have been on the rise. Yet, a limited number of studies have examined the impact of collaborative information search processes on novices’ query behaviors. Studying and analyzing factors that influence web search behaviors, specifically users’ patterns of queries when using collaborative search systems can help with making query suggestions for group users. Improvements in user query behaviors and system query suggestions help in reducing search time and increasing query success rates for novices. This thesis investigates the influence of collaboration between experts and novices as well as the use of a collaborative web search tool on novices’ query behavior. We used SearchTeam as our collaborative search tool. This empirical study involves four collaborative team conditions: SearchTeam and expert-novice team, SearchTeam and novice-novice team, traditional and expert-novice team, and traditional and novice-novice team. We analyzed participants’ query behavior in two dimensions: quantitatively (e.g. the query success rate), and qualitatively (e.g. the query reformulation patterns). The findings of this study reveal that the successful query rate is higher in expert-novice collaborative teams, who used the collaborative search tools. Participants in expert-novice collaborative teams who used the collaborative search tools, required less time to finalize all tasks compared to expert-novice collaborative teams, who used the traditional search tools. Self-issued queries and chat logs were major sources of terms that novice participants in expert-novice collaborative teams who used the collaborative search tools used. Novices as part of expert-novice pairs who used the collaborative search tools, employed New and Specialization more often as query reformulation patterns. The results of this study contribute to the literature by providing detailed investigation regarding the influence of utilizing collaborative search tool (SearchTeam) in the context of software troubleshooting and development. This study highlights the possible collaborative information seeking (CIS) activities that may occur among software developers’ interns and their mentors. Furthermore, our study reveals that there are specific features, such as awareness and built-in instant messaging (IM), offered by SearchTeam that can promote the CIS activities among participants and help increase novices’ query success rates. Finally, we believe the use of CIS tools, designed to support collaborative search actions in big software development companies, has the potential to improve the overall novices’ query behavior and search strategies

Investigating enterprise application integration (EAI) adoption factors in higher education: an empirical study

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University LondonThe Higher Education (HE) sector of a country is a key area indicating the progress of cultural, political and social growth and development. Public and social demands as well as technological developments add new challenges for this sector. Consequently, higher education institutions have changed and a more flexible IT infrastructure is required to enable them to adapt efficiently to competitive business challenges. Enterprise application integration (EAI) is a technology that effectively integrates intra- and inter-organizational systems. Firstly a systematic review of the EAI literature was conducted. From this review, it was apparent that there are no theoretical models for EAI adoption and evaluation for higher education. Hence, this research contributes a conceptual model that includes influential factors derived from the literature and combines them with the proposed classification of influential factors for HE to produce an EAI conceptual model for the HE domain. To validate this proposed model empirical research was conducted. Then, the model was tested using a qualitative case study approach by means of three case studies that were conducted at different universities. Exploratory, explanatory and interpretive data analysis phases were implemented to find what is the current EAI process of HE and how these institutions currently work. In addition, these phases were employed to identify the EAI adoption factors in HE. As a result of this analysis the conceptual model was modified because of complementary factors that emerged. Therefore, the main contribution of this research is a comprehensive and novel model for EAI adoption in higher education area. The adoption EAI factors were identified by extracting a number of parameters from the empirical data. Several important factors that influence and assist the adoption of EAI in HE were identified. Hence, an additional contribution is the classification of factors in EAI adoption into technical and social factors which provides a better understanding of these factors. A further contribution is the derivation of a new classification of the EAI external and internal pressure factors. The development of a consistent model for the adoption and evaluation of EAI in HE is based on these factors

WikiSensing: A collaborative sensor management system with trust assessment for big data

Big Data for sensor networks and collaborative systems have become ever more important in the digital economy and is a focal point of technological interest while posing many noteworthy challenges. This research addresses some of the challenges in the areas of online collaboration and Big Data for sensor networks. This research demonstrates WikiSensing (www.wikisensing.org), a high performance, heterogeneous, collaborative data cloud for managing and analysis of real-time sensor data. The system is based on the Big Data architecture with comprehensive functionalities for smart city sensor data integration and analysis. The system is fully functional and served as the main data management platform for the 2013 UPLondon Hackathon. This system is unique as it introduced a novel methodology that incorporates online collaboration with sensor data. While there are other platforms available for sensor data management WikiSensing is one of the first platforms that enable online collaboration by providing services to store and query dynamic sensor information without any restriction of the type and format of sensor data. An emerging challenge of collaborative sensor systems is modelling and assessing the trustworthiness of sensors and their measurements. This is with direct relevance to WikiSensing as an open collaborative sensor data management system. Thus if the trustworthiness of the sensor data can be accurately assessed, WikiSensing will be more than just a collaborative data management system for sensor but also a platform that provides information to the users on the validity of its data. Hence this research presents a new generic framework for capturing and analysing sensor trustworthiness considering the different forms of evidence available to the user. It uses an extensible set of metrics that can represent such evidence and use Bayesian analysis to develop a trust classification model. Based on this work there are several publications and others are at the final stage of submission. Further improvement is also planned to make the platform serve as a cloud service accessible to any online user to build up a community of collaborators for smart city research.Open Acces

Insourcing a government information system: a case study from Malaysia.

Insourcing, outsourcing and co-sourcing are three approaches to procuring an information system. This research contributes to the body of knowledge on insourcing an information system; exploring and discussing the enabling and inhibiting factors of the insourcing of an information system in selected government agencies in Malaysia. This study was undertaken in response to a paucity of similar projects and a limited literature focused on developing countries. It considers the post outsourcing context following the decision to insource a major Malaysian Government Information System in 2011. A qualitative research method was used to obtain empirical evidence from selected government agencies through 69 semi-structured interviews in two data collection periods: 2013-2014 and 2015. Interviews were conducted with civil servants at all levels, from senior management to clerical staff, including users of the government information system. By using coding principles from grounded theory to analyse the data, seven exciters and six inhibitors of insourcing a government information system were identified and mapped in the analytical framework. Further, this is the first research to use an enhanced model, devised by combining the OPTIMISM model and two distinct theoretical traditions: institutional theory and the capability approach; in order to analyse the insourcing of government information system adoption. The enhanced model was created by mapping the OPTIMISM model (that has a set of dimensions) to an analytical framework comprising the capability approach, institutional theory and technology (ICTs). The main research contribution of this thesis is in the area of capacity building of the internal development team. The increased budget for training, the selection of appropriate training providers and knowledge sharing among experienced and novice developers all contribute to building capacity in the internal development team; and consequently help to improve the quality of the system which will improve service delivery to the general public. The approach and findings of this study contribute to the body of knowledge and understanding of the subject in government information system development and implementation, and can also be applied to improving the quality of service delivery. While this study has focused on government information systems, the wider area of eGovernment, and applications serving the needs of the general public, is equally important, and therefore the researcher suggests that insourcing eGovernment applications would also assist in the capacity building of internal IT staff