Smart Computing and Systems Engineering (SCSE)

Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/18936

Browse

Has files: YesSubject: search.filters.subject.IoT

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Utilizing mobile based technologies in monitoring solid waste in Sri Lanka: A case study
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Dasinaa, S.; Rajivkanth, S.
    An exponential increase in solid waste is a crucial concern for all citizens including policy makers. This issue has been building up over a period of time due to inadequate planning and implementation of measures to segregate, collect, tranbsport and dispose solid waste in the country. Despite many initiatives being taken to resolve the problems associated with the collection of waste, the issue of piled up garbage has been a common site. Though technology has advanced and unlike previously many people have access to it and use it, the use of such resources to solve daya to day problems of citizens is poor. Therefore, the current study was focused towards the technological approaches over the collection of solid waste that accumulates more in urban areas, especially in Sri Lanka. IoT, GPS, Geo-fencing and RFID is incorporated to design a model for the successful collection of solid waste on a timely efficient manner. It is expected that the solution will enable customers and policy makers the ability to address this important issue and ensure that the environment is kept clean. In addition, this model will function with minimum cost and will take only minimum to time for customers to use.
  • No Thumbnail Available
    Item
    A solution for reducing electricity in residential sector using image processing
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Ekanayake, D.S.; Samankula, W.G.D.M.
    Energy saving is a critical issue that should be addressed in a worldwide scale. In the residential sector of Sri Lanka, there are many houses. Each household on average includes four people and has diverse electronic needs to be fulfilled. This paper proposes a solution to reduce the electricity consumption of residential sector. The solution has the ability to manage the use of electricity consumption of households. It identifies each and every household electric item and connects through Wi-Fi. Each household electric item which has the ability to connect to a Wi-Fi network, will be connected to the system via the routers port forwarding function. The user has the ability to check the system and identify which electric item is wasting energy and then the user can switch it off remotely through the system. Furthermore, the proposed solution is equipped with image processing algorithms. Image processing is fast, flexible and opens a whole new world of real time computer vision. A video camera located in several places in the house is used to identify presence of humans and then automatically switch off unnecessary electronic items. The proposed detection process depends on the light condition, camera angle and the efficiency of the real time detection. Matlab’s SVM classifier people detection algorithm was used as the image processing algorithm. One thousand six hundred images were split equally into two data sets as images with humans, and images without humans. The analysis revealed a unique threshold value as 6 220 800 in images to identify humans images in it. In the future, the system is envisaged to connect to an IoT (Internet of Things) platform to derive more benefits to the end user.
  • No Thumbnail Available
    Item
    Automatic smart parking system using Internet of Things (IoT)
    (International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Rishan, U.M.
    Internet of Things (IoT) plays a vital role in connecting the surrounding environmental things to the network. The IoT is a system of interrelated computing devices that are provided with identifier and the ability to transfer data over a network without requiring human and computer interaction. These type of technologies are used to connect un-internet devices to the network from any remote location. With the number of vehicles on the roads climbing steeply over the last few years, motorists face problems in parking vehicles in designated slots in the city. In this paper a Smart Parking System is designed which enables the user to find the nearest parking area and provide the information about the availability of parking slot to the motorist. The system mainly focuses on reducing the time of finding the parking area and avoids unnecessary travelling through filled parking lots in a parking area. Thus it reduces fuel consumption and minimizes carbon emissions as well.