• Categorizing food names in restaurant reviews 

  Prakhash, S; Nazick, A; Panchendrarajan, R; Brunthavan, M; Ranathunga, S; Pemasiri, A [Conference-Full-text]

  There are many aspects such as food, service, and ambience that a customer would look for, when deciding on a restaurant to dine in. Among these aspects, the type of food it sells and the food quality are the most ...
• Machine learning approach to recognize subject based sentiment values of reviews 

  De Mel, NM; Hettiarachchi, HH; Madusanka, WPD; Malaka, GL; Perera, AS; Kohomban, U [Conference-Full-text]

  Due to the increase in the number of people participating online on reviewing travel related entities such as hotels, cities and attractions, there is a rich corpus of textual information available online. However, to ...
• An automatic classifier for exam questions with wordnet and cosine similarity 

  Jayakodi, K; Bandara, M; Meedeniya, D [Conference-Full-text]

  The learning objectives, learning activities and assessment are very much interrelated. Assessment helps to evaluate students learning achievement. Poorly designed assessments usually fail to examine the achievement of ...
• Support for traceability management of software artefacts using natural language processing 

  Arunthavanathan, A; Shanmugathasan, S; Ratnavel, S; Thiyagarajah, V; Perera, I; Meedeniya, D; Balasubramaniam, D [Conference-Full-text]

  One of the major problems in software development process is managing software artefacts. While software evolves, inconsistencies between the artefacts do evolve as well. To resolve the inconsistencies in change management, ...
• Cheap food or friendly staff? weighting hierarchical aspects in the restaurant domain 

  Panchendrarajan, R; Murugaiah, B; Prakhash, S; Ahamed, MNN; Ranathunga, S; Pemasiri, A [Conference-Full-text]

  In aspect-level opinion mining, each aspect is assigned a rating based on customer reviews. More often than not, these aspects exhibit a hierarchical relationship, and the restaurant domain is no difference. With the ...
• Ananya - a named-entity-recognition (ner) system for sinhala language 

  Manamini, SAPM; Ahamed, AF; Rajapakshe, RAEC; Reemal, GHA; Jayasena, S; Dias, GV; Ranathunga, S [Conference-Full-text]

  Named-Entity-Recognition (NER) is one of the major tasks under Natural Language Processing, which is widely used in the fields of Computer Science and Computational Linguistics. However, the amount of prior research ...
• New mems based micro gripper using sma for micro level object manipulation and assembling 

  Munasinghe, KC; Bowatta, BGCT; Abayarathne, HYR; Kumararathna, N; Maduwantha, LKAH; Arachchige, NMP; Amarasinghe, YWR [Conference-Full-text]

  Micro electro mechanical systems (MEMS) based micro gripper for micro-assembling processes is designed. Gripper arms are actuated using a combination of Ni-Ti shape memory alloys and Si springs allowing a gripping range ...
• Design and simulation of mems based 5-dof tactile force sensor 

  Udayanga, TDI; Jayathilaka, WADM; Amarasinghe, YWR; Dao, DV [Conference-Full-text]

  This paper describes design and simulation of five degrees of freedom (5-DOF) Micro-Electro-Mechanical systems (MEMS) based tactile force sensor. Tactile sensing involves with measuring physical parameters such as force, ...
• A novel mems motor based on thermal actuation 

  De Silva, AHTE; De Silva, DDN; Perera, KDCJ; Priyashantha, AMB; Sampath, LLR; Darshan, P; Jayathilaka, WADM; Amarasinghe, YWR [Conference-Full-text]

  It is essential for the Micro Electro Mechanical Systems (MEMS) research industry to introduce novel concepts of micro motors to overcome problems in existing micro motors. This paper propose a novel concept of a micro ...
• Smart solar tracking and on-site photovoltic efficiency measurement system 

  Basnayake, BADJCK; Jayathilaka, WADM; Amarasinghe, YWR; Attalage, RA; Jayasekara, AGBP [Conference-Full-text]

  On-site photovoltaic efficiency data is a valuable asset during a process of predicting photovoltaic potential. Not just the solar power output, but also the ambient conditions and panel temperature should be measured ...
• Development of a numerically controlled hot wire foam cutting machine for wing mould construction 

  Abeysinghe, A; Abeysiriwardena, S; Nanayakkarawasam, R; Wimalsiri, W; Lalitharatne, TD; Tennakoon, S [Conference-Full-text]

  The foam mould making for Unmanned Aerial Vehicles should be efficient and accurate to improve research and manufacturing. Hot wire cutting is a widely used method in foam cutting. In hot wire cutting, accuracy and ...
• Model-based input-adaptive vectorization 

  Sundararajah, K; Jayasena, S [Conference-Full-text]

  In a program, not all the bits of a variable are always used during execution. Identifying the minimum number of bits necessary to represent a variable in a program can potentially provide optimization opportunities. ...
• A visualization and analysis platform for performance tuning 

  Eranjith, HMD; Fernando, ID; Fernando, GKS; Soysa, WCM; Jayasena, VSD [Conference-Full-text]

  With a framework like OpenTuner, one could build domain-specific multi-objective program auto-tuners and gain significant performance improvements. But explaining why and interpreting the results are often hard, mainly ...
• Reducing computational time of closed-loop weather monitoring: a complex event processing and machine learning based approach 

  Chandrathilake, HMC; Hewawitharana, HTS; Jayawardana, RS; Viduranga, ADD; Bandara, HMND; Marru, S; Perera, S [Conference-Full-text]

  Modern weather forecasting models are developed to maximize the accuracy of forecasts by running computationally intensive algorithms with vast volumes of data. Consequently, algorithms take a long time to execute, and ...
• Proaasel: prospect theory based continuous authentication attribute selection model 

  Premarathne, US [Conference-Full-text]

  Existing continuous authentication models use a fixed set of attributes and do not consider the application specific requirements and associated vulnerabilities in their selection. Selecting appropriate attributes for ...
• Fuel consumption prediction of fleet vehicles using machine leaning: a comparative study 

  Wickramanayake, S; Bandara, HMND [Conference-Full-text]

  Ability to model and predict the fuel consumption is vital in enhancing fuel economy of vehicles and preventing fraudulent activities in fleet management. Fuel consumption of a vehicle depends on several internal factors ...
• Applying agile practices to avoid chaos in user acceptance testing: a case study 

  Padmini, KVJ; Perera, I; Bandara, HMND [Conference-Full-text]

  Agile practices have gained increasing popularity in Information Technology (IT), Education, Marketing, and Advertising industry, as it brings quality products into the market faster. Scrum, Lean Development, and Extreme ...
• Open source mobile network 

  Sajeev, U; Muralitharan, R; Ramsan, MMM; Zamrath, MZM; Dias, D [Conference-Full-text]

  We present the development and testing of a cellular network built on open source technologies. This network supports voice calls and text messages within the network or between networks. The main objective of this work ...
• Improved ldpc decoding algorithms based on min-sum algorithm 

  Kumara, YVAC; Wavegedara, CB [Conference-Full-text]

  Low-Density Parity check (LDPC) codes offer highperformance error correction near the Shannon limit which employs large code lengths and some iterations in the decoding process. The conventional decoding algorithm of ...
• Delta-sigma noise shaping in 2d spacetime for uniform linear aperture array receivers 

  Handagala, S; Madanayake, A; Belostotski, L; Bruton, LT [Conference-Full-text]

  A multi-dimensional noise-shaping method based on delta-sigma modulation has been proposed. This method extends delta-sigma modulation into the two-dimensional (2-D) case (space, time). The proposed noise-shaping method ...

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