Browsing by Author "Perera, T"

Now showing 1 - 9 of 9

item: Conference-Full-text
Analysis of bulking factor as a basis for royalty calculation in aggregate quarrying in Sri Lanka
(IEEE, 2020-07) Perera, T; Piyarathna, S; Liyanage, I; Panagoda, H; Dharmaratne, P; Samarasuriya, C; Samaradivakara, I; Weeraddana, C; Edussooriya, CUS; Abeysooriya, RP
Sri Lanka hosts a variety of mineral resources and the government grants necessary approvals required for mining. As compensation Government charges a royalty. Currently, in aggregate production in Sri Lanka, an explosivebased equation is used for royalty levy calculation which has not been scientifically established where bulking of the material is not considered. As mineral royalty levy is one of the main revenues of the state, deviations of royalty recovery will influence the economy of the country. The study is being conducted on several A grade quarries, and Total Station surveys were used to obtain 3-dimensional coordinates of the muck pile before and after blasting. These data were used to generate a 3D model of the muck pile and the bench, which was used for the bulk volume calculations with the use of the Surfer 16 software. The in-situ volume of the blasted rock was found by truck weight calculations and both the bulk volume and the In-situ volume were used for Bulking Factor calculations, and Powder Factor calculations. This research will lead to significant alterations in the royalty calculations. This approach with new technology will put the royalty calculation on a scientific putting and elevate the royalty calculation methodology.
item: Conference-Full-text
BLACK SWAN EFFECTS ON THE REAL ESTATE ENVIRONMENT: A CONCEPTUAL FRAMEWORK
(2016-08-24) Perera, T; Higgins, D;
Unpredictable events can have a major impact on real estate, yet they are often overlooked in many property decisions. This research looks at linking property market analysis to Black Swan (BS) Event theory, a term made famous by Taleb (2008) as those unpredictable disastrous events which have three key characteristics: rarity, extreme impact and retrospective predictability. The research takes the form of a narrative synthesis applying a literature review approach to define an extensive range of BS events into a conceptual framework so as to measure the impact on property markets with reference to risk and uncertainties. For property asset managers, this is important as BS events can be related to the impact on Place/location and Space/operation. To improve the resilience and reduce vulnerability towards these events, property strategies can embrace new disaster management research and so lower the impact of Place risk, although improved connectivity makes global organisations more vulnerable to space risk failure after a major BS Event. In this paper, BS management models are funnelled to the antifragility concept, as a positive sensitivity to increases in volatility. Finally, the study offers a conceptual framework of illustrating the relationship between BS effects and its respective fragile and antifragile strategies.
item: Conference-Full-text
Black swan effects on the real estate environment: a conceptual framework
(Ceylon Institute of Builders, 2016-07) Perera, T; Higgins, D; Sandanayake, YG; Karunasena, GI; Ramachandra, T
Unpredictable events can have a major impact on real estate, yet they are often overlooked in many property decisions. This research looks at linking property market analysis to Black Swan (BS) Event theory, a term made famous by Taleb (2008) as those unpredictable disastrous events which have three key characteristics: rarity, extreme impact and retrospective predictability. The research takes the form of a narrative synthesis applying a literature review approach to define an extensive range of BS events into a conceptual framework so as to measure the impact on property markets with reference to risk and uncertainties. For property asset managers, this is important as BS events can be related to the impact on Place/location and Space/operation. To improve the resilience and reduce vulnerability towards these events, property strategies can embrace new disaster management research and so lower the impact of Place risk, although improved connectivity makes global organisations more vulnerable to space risk failure after a major BS Event. In this paper, BS management models are funnelled to the antifragility concept, as a positive sensitivity to increases in volatility. Finally, the study offers a conceptual framework of illustrating the relationship between BS effects and its respective fragile and antifragile strategies.
item: Conference-Full-text
Blockchain-based product traceability beyond proof of existence
(IEEE, 2020-07) Perera, T; Hettige, SPT; Jayatilake, SAP; Abeygunawardhana, W; Bandara, HMND; Weeraddana, C; Edussooriya, CUS; Abeysooriya, RP
Contemporary consumers are demanding greater visibility in products they consume, and practices used to pro-duce them. Blockchain-based product traceability solutions at-tempt to integrate the data silos of suppliers into an immutable and distributed ledger to provide consumers with a transparent and trustworthy system to trace back a product at hand. A com-mon limitation of these solutions is the use of blockchain to pro-vide only the proof of existence of data. We propose a solution where data related to enforcement of product-quality specifica-tions and production limits, merging and splitting products as batches, and mixing of ingredients are handled within the block-chain itself to provide greater consistency, transparency, and trust. Our solution is based on a graph data structure built into the blockchain nodes, smart contracts, and facilitation of differ-ent roles in a supply chain. We demonstrate the utility of the proposed solution by implementing it on the Hyperledger Fabric platform. Performance results confirmed that both the graph data structure and blockchain has acceptable throughput and latency characteristics.
item: Article-Full-text
Directionality-centric bus transit network segmentation for on-demand public transit
(2020) Perera, T; Wijesundera, D; Wijerathna, L; Srikanthan, T
The recent growth in real-time, high-capacity ride-sharing has made on-demand public transit (ODPT) a reality. ODPT systems serving passengers using a vehicle fleet that operates with flexible routes, strive to minimise fleet travel distance. Heuristic routing algorithms have been integrated in ODPT systems in order to improve responsiveness. However, route computation time in such algorithms depends on problem complexity and hence increases for large scale problems. Thus, network segmentation techniques that exploit parallel computing have been proposed in order to reduce route computation time. Even though computation time can be reduced using segmentation in existing techniques, it comes at the cost of degradation of route quality due to static demarcation of boundaries and disregarding real road network distances. Thus, this work proposes, a directionality-centric bus transit network segmentation technique that exploits parallel computation capable of computing routes in near real-time while providing high scalability. Additionally, a dynamic fleet allocation algorithm that exploits proximity and flexibility to minimise vehicle detours while maximising fleet utilisation is proposed. Experimental evaluations on a real road network confirm that the proposed method achieves notable speed-up in flexible route computation without compromising route quality compared to a widely used unsupervised learning technique.
item: Conference-Abstract
Identifying better fitting function for asymmetric differential thermo gravimetric signal analysis
Dodampola, R; Egodage, D; Amarasinghe, S; Attygalle, D; Weragoda, S; Perera, T
Thermogravimetric analysis is one of the main technique used in solid state reaction kinetics studies. Unlike in gaseous and liquids state reactions, most solid-state reaction mechanisms are complex and comprise of simultaneous reactions. Curve fitting is one of the most used tool to obtain kinetic parameters such as activation energy and preexponential factor despite the reaction mechanism. Diferential Thermo Gravimetric (DTG) signals are asymmetric and its asymmetry depends on the kinetic triplet. Therefore, the use of symmetric functions such as Gaussian and Lorentzian to fit asymmetric DTG signals infer errors. To avoid that a new curve fitting method has been introduced in this study.
item: Conference-Abstract
Introducing process orientation to the Sri Lankan apparel industry
(2011) Yapa, TSD; Lanarolle, WDG; Perera, T
As a key contributor to the country's economy, the Sri Lankan Apparel Industry plays a major role in apparel business world The intense competition from regional players is the main challenge that industry faces at present. As a result, many apparel manufacturers focus on continuously improving their business performance. Though they are targeting on improving the business process, still the understanding on the concept of process among majority of them is low. This factor is proved by a survey conducted prior to this study, to identify the level of understanding and application of processes among Sri Lankan apparel industry. Further, many industry experts agree that industry still operate as functional units, but not as processes [2], Thus, many of their improvement initiatives are focused on optimizing the functional units leading to local optimizations, rather being globalized. Being process focused creates the 'process culture' among organizations by penetrating process thinking in all aspects. Further, being process oriented is a way to reduce cost, to increase quality level of the output, to improve overall performance of the business and to improve both customer and employee satisfaction. The key aim of this study is to introduce the concepts of process and process orientation to the Sri Lankan Apparel Industry (SLAI), thereby enabling to make improvement initiatives more effective. The business process was initially studied function-wise and then grouped into 6 key sub-processes and their validity war proved by comprehensive questionnaire surveys conducted among Sri Lankan apparel manufacturers.
item: Conference-Full-text
Mathematical Analysis of Startup Mark in Elastic Tape on a Narrow Fabric Loom
(2015-08-03) Dayaratne, HDCT; Premakumara, R; Perera, T; Prince, S; Fernando, EASK; Jayawardane, TSS
Start-up marks are considered as one of the major defect in woven fabric, it occurs when the loom is restarted after loom stoppage due to various reasons. This defect is more prominent in high speed weaving looms especially with elastic warp yarns and is caused to deteriorate the fabric quality. This research paper deals with the mathematical analysis of the startup mark generation in elastic tape on narrow fabric loom. Mathematical analysis was carried out for both continuous operation condition and under stopping condition of the narrow fabric loom. A system simulation was carried out using the model developed and compared with the experimental results to show the accuracy of the model.
item: Conference-Abstract
Mathematical analysis of startup mark in elastic tape on a narrow fabric loom
Dayaratne, HDCT; Premakumara, R; Perera, T; Prince, S; Fernando, EASK; Jayawardane, TSS
Start-up marks are considered as one of the major defect in woven fabric, it occurs when the loom is restarted after loom stoppage due to various reasons. This defect is more prominent in high speed weaving looms especially with elastic warp yarns and is caused to deteriorate the fabric quality. This research paper deals with the mathematical analysis of the startup mark generation in elastic tape on narrow fabric loom. Mathematical analysis was carried out for both continuous operation condition and under stopping condition of the narrow fabric loom. A system simulation was carried out using the model developed and compared with the experimental results to show the accuracy of the model.