Authors:Sulaiman Riza, Djasmir Marlinawati, and Mohamad Amran Mohd Fahmi
Segmentation is one of important methods in medical images processing, particularly as it allows images to be analysed. The method used for segmentation depends on the image problem to be resolved. In this research, knee cartilage needs to be segmented to determine the level of the Osteoarthritis (OA) and for further treatment. Knee cartilage is a soft hyline sponge that is located at the end of the femur, tibia and patella bone to release friction during movement. OA is a knee cartilage problem wherein there is a thinning of the cartilage that results in a shift especially happening between femur and tibia bone causing discomfort and pain. Thinning of the knee cartilage is due to many factors such as age, body weight, genetic, accident, sport injury and extreme use such as physical work. OA can occur to a male or female, child or adult. The effects experienced by patients with OA are such as difficulty to walk, limited movement, and pain in the thin cartilage areas. Monitoring of patients' condition needs to be done to help reduce the problem and thereby enable specialists to perform the appropriate treatment. Imaging is a method used today to monitor the condition of patients with OA. Previous studies showed that MRI is a suitable method for monitoring the condition of patients with OA because of its advantages in visualising knee cartilage more clearly than other imaging methods. Thus, for segmenting the knee cartilage which as mentioned before is an important process in medical images processing, the MR images were selected based on many factors. Segmentation in this study was aimed to obtain the cartilage region to diagnose patient OA level. Various segmentation techniques have been developed by researchers in segmenting the knee cartilage region but they have been unable to segment precisely due to the thin structure of the knee cartilage, especially for patients with intermediate and severe OA. COMSeg technique was developed to segment knee cartilage, especially for those experiencing a normal and intermediate OA and try to implement it to severe OA. The development of this new technique takes into account the imaging method used, the images feature obtained so it can be suitable to process knee image and then selection of an appropriate technique to be applied to the selected images as input.
Buildings are the largest consumers of energy, accounting for nearly 40% of all energy used. Therefore, an effective method of reducing energy consumption is to create and design more efficient buildings. In this paper details of a sustainable and green building design for a small residential home are presented. This design is unique in that it is built to Passive house standards, and using shipping containers. The structure will use four 20 ft. (6.1 m) high and one 40 ft. (12.2 m) high cube containers, with the four 20 ft. (6.1 m) making up the main floor and the 40 ft. (12.2 m) forming the second floor. The size is a modest 820 sq. ft. (76.2 m2) designed for a family with one or two children.
The goal for the building is to be as self-sufficient as possible which makes it ideally suited to an ‘off-grid’ rural setting. However, it can be adapted to be ‘on-grid’ as well. Solar energy will provide all the electricity needs through a photovoltaic battery system, and warm water with a solar water heater. The site will be water neutral by utilising rainwater harvesting and on site waste water treatment. The results from energy modelling, using HOT2000, are presented, as well as an in-depth analysis on different insulation types and strategies. Finally, a cost estimate exercise is conducted and results compared to other passive houses and traditional code compliance buildings.
Authors:Tamás Magyar, Felipe Werle Vogel, Florence Tóth, Attila Nagy, János Tamás, and Péter Tamás Nagy
the secondary products and wastes that are locally available [ 3 ]. Currently, the anaerobic treatment process is favourable to treat different types of effluents (dairy effluents [ 4 ], rice industry wastewater [ 5 ], winery and distillery wastewater
Authors:Z. Lisiewska, W. Kmiecik, P. Gębczyński, and L. Sobczyńska
Cruz-Garcia, C., Gonzalez-Castro, M.J., Oruna-Concha, M.J., Lopez-Hernandez, J., Simal-Lozano, J.A. & Simal-Dandara, J. (1997): The effects of various culinary treatments on the pigment content of green beans ( Phaseolus vulgaris L.). Fd Res. int