Smart Computing and Systems Engineering - 2018 (SCSE 2018)
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/18937
Browse
56 results
Search Results
Item An approach to coexistence analysis between agility and ERP implementation(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Rajakaruna, R.J.P.K.; Wijayanayake, J.Business organizations tend to re-engineer their business processes by adopting Enterprise Resource Planning (ERP) systems in order to gain a competitive advantage. ERPs offer countless benefits by enabling an enterprise to operate as an integrated, process oriented and real time enterprise. But the issue is re-engineering with ERP ranks among slow-moving, costly and challenging processes of an organization. Many ERP specialists regard agile approaches positively, to mitigate the common ERP implementation challenges. Agile implementation of ERPs is still under research area. This research discusses on the need of agile approaches in ERP implementations and how agility and ERP implementations can coexist. In this case our research question is “Can the common ERP implementation challenges be solved by using agile approaches?” and if so, “How these challenges can be solved?” This study also seeking for uplift the level of awareness on the applicability of agility for ERP implementation projects and these findings can be effectively used by ERP Implementers, Vendors, Consultants, Project Managers and Researchers in their respective projects.Item An optimization model for planning milling quantities based on forecasting of paddy and rice prices(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Abeyweera, S.; Nanayakkara, J.Rice is considered as the staple food of Sri Lanka. The conversion of paddy in to rice is a main value creation found in the Sri Lankan agricultural industries. The paper deals with the planning concerns, in the supply chain of rice. The paper discusses various issues related to production of rice at the downstream end of the supply chain and milling management decisions. Small and Medium scale milling plants around Sri Lanka are facing problems of dissolving their businesses quickly, and they are in a need to utilize their capacity in optimal way. An efficient supply chain management framework is essential for the milling to be efficient in sourcing, processing and distribution of rice under an uncertain environment. In the study, the behaviour of the Sri Lankan paddy and rice market prices volatility has been studied qualitatively and the paper discusses the validity of applying different forecasting tools. Mainly the SARIMA and Winters model have been used for forecasting. The study identifies and proposes two price regions for forecasting, based on the macro environmental factors. In order to attain the research objectives of optimization, the researcher has used linear programming as a continuous multi period model. The research is significant for the small and medium scale milling community to enhance their livelihood by determining the right time and right quantity for procuring, processing and stocking in a volatile market environment.Item Evaluation of higher education institutions using aspect based sentiment analysis(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Balachandran, L.; Kirupananda, A.Demand for formal higher education programs among the younger generation in Sri Lanka, has grown over the past decade. The demand growth has fueled the opening up of many local and internationally affiliated institutes offering a diverse range of degree programs. The selection of the appropriate course from these institutes is challenging given the wide choice. In order to select the appropriate institute, students use the Internet for reviews and user comments, especially from social network sites like Facebook, Twitter and Google plus. This search, involves a cost in terms of time spent for reading the comments and processing whether the standing of the ratings for the program and the institution are appropriate. This task is challenging because of the difficulty to extract sentiment information from a massive set of online reviews. A solution is proposed, using an aspect based sentiment evaluation system that assesses institutions by considering the reviews provided, to overcome this problem. This concept is based on Natural Language Processing (NLP). A web based, automated application tool that retrieves review data from social media networks on the institution and the features of the program, analyzes the sentiment value and provides a rating has been developed.Item Computer aided segmentation approach for Melanoma skin cancer detection(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Sivathmeega, S.; Kariapper, R.K.A.R.; Rathnayaka, R.M.K.T.Skin cancer is the most common type of cancer in the world and nowadays, this incidence is increasing rapidly. In recent years, there has been a fairly rapid increment in melanoma skin cancer patients. Melanoma, this the deadliest form of skin cancer, must be diagnosed earlier as soon as possible for effective treatment. To diagnose melanoma earlier, skin lesion should be segmented accurately. However, the segmentation of the melanoma skin cancer lesion in traditional approach is a challenging task due to the number of false positives is large and time consuming in prediction. Hence, the development of automated computer vision system becoming as an essential tool to segment the skin lesion from given photograph of patient’s cancer affected area and to overcome those difficulties, which were found in the earlier methods. This work was done through image processing techniques. Some of these techniques are widely used in similar applications, as is the case of the canny edge detection for finding the lesion boundary. Other techniques are watershed segmentation for segmenting the lesion from skin, multilevel thresholding for merging the lesion, and active contour for increasing the accuracy. Though the personnel in the medical field had introduced new methodologies to improve the accuracy by addressing the challenges and mainly focusing on the accuracy, the approach in this study achieved 97.54% sensitivity, 97.69% specificity, and 97.56% accuracy.Item An optimization model to allocate most suitable team members for software development projects(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Dharmasena, T.W.; Wijayanayake, A.Human resource is one of the most important resource that creates value for software development projects. However, this becomes more complex when the required range of skills, knowledge, experience and expertise, increases. Many software development projects have failed due to wrong mapping of team members to expected goals. Therefore, it is vital to fill the optimal number of positions required by the most qualified employees for each project, under each designation and to find the most suitable person for each designation. Practically, there is no specific methodology or a system available to match team members to achieve the scope of a given project, as some of the requirements are subjective and the rest are objective. Therefore, the main objective of this research is to develop a model to determine the optimal number of team positions required to be filled, to contribute most to achieve the project scope, quality and meeting the deadlines. In this case, analytical network process together with application of linear programming determine the position to be filled by whom, to optimize the quality and the scope of the project. This is an effective way of selecting suitable team members while meeting the subjective and objective resource constraints to derive maximum benefits not only for the software development project, but for the company as well.Item A data mining approach for the analysis of undergraduate examination question papers(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Brahmana, A.; Kumara, B.T.G.S.; Liyanage, A.L.C.J.Examinations play a major role in the teaching, learning and assessment process. Questions are used to obtain information and assess knowledge and competence of students. Academics who are involved in teaching process in higher education mostly use final examination papers to assess the retention capability and application skills of students. Questions that used to evaluate different cognitive levels of students may be categorized as higher order questions, intermediate order questions and lower order questions. This research work tries to derive a suitable methodology to categorize final examination question papers based on Bloom’s Taxonomy. The analysis was performed on computer science related end semester examination papers in the Department of computing and information systems of Sabaragamuwa University of Sri Lanka. Bloom’s Taxonomy identifies six levels in the cognitive domain. The study was conducted to check whether examination questions comply with the requirements of Bloom’s Taxonomy at various cognitive levels. According to the study the appropriate category of the questions in each examination, the paper was determined. Over 900 questions which obtained from 30 question papers are allocated for the analysis. Natural language processing techniques were used to identify the significant keywords and verbs which are useful in the determination of the suitable cognitive level. A rule based approach was used to determine the level of the question paper in the light of Bloom’s Taxonomy. An effective model which enables to determine the level of examination paper can derive as the final outcome.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.Item A study on classifying the store positioning from the transactional data(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Takahashi, M.; Tanaka, Y.This paper describes a customer analysis for store positioning, using data gathered from supermarkets in Japan. Among the retail industry in Japan, there are many types of reward cards used for customer retention purposes. The rewards cards or “Point Card”, is originally aimed for customer analysis purposes, but at present the full benefits have not been extracted due to issues in data analytics. This reward card has only become a method of simply distributing “virtual money” to the customer. For the efficient use of gathering data, we propose a classification method of the customer based on the objectives of visiting stores. In this study, the customers were classified into their objectives.Item A cross-functional collaborative model for supplier evaluation for the sustainability of a firm(International Research Conference on Smart Computing and Systems Engineering - SCSE 2018, 2018) Jayarathne, K.; Wijayanayake, A.; Weerabahu, S.Business organizations have emphasized the importance of sustainability in their business processes. Sustainability of a firm can be measured on social, environmental and economic benefit indicators known as “triple bottom line”. Supplier selection process is one of the critical issues of sustainability activities faced by supply chain managers to maintain a strategically competitive position in the industry and supplier selection can significantly affect in achieving the triple bottom line. Given the current context, technological factors immensely affect the sustainability of a firm. Communication and web based systems related technology is a vital factor to build sustainable supply chain relationships. Thus, technological aspects can be taken into consideration under different sustainable criteria for supplier selection, though it has not been considered yet as a major factor. Analytical Network Process (ANP) has been incorporated to compute the supplier evaluated score that was computed by each department against each supplier. Then an Integer Linear Programming (ILP) model has been used to integrate the judgments of the multiple decision-makers. This research addresses the supplier selection decisions by groups of experts, which improves the quality and accuracy of the decisions made. In this model, both subjective and objective factors related to supplier selection are incorporated in order to optimize the procurement process aligning to the sustainability of the firm.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.