Renewable energy sources, such as solar photovoltaic (PV) systems are becoming more popular globally due to their profuse availability and eco-friendly nature. Given that the sun moves daily, an effective solar PV sys...
详细信息
ISBN:
(纸本)9798350373486;9798350373479
Renewable energy sources, such as solar photovoltaic (PV) systems are becoming more popular globally due to their profuse availability and eco-friendly nature. Given that the sun moves daily, an effective solar PV system setup is not straightforward. Harvesting of solar energy from a PV module efficiently is affected not only by varying environmental conditions, but also by the installation angles, load profile, latitude of the location of interest and energy management system. PV module energy conversion can further be increased by using solar tracking technologies. The purpose of this study was to develop an effective algorithm for automatic solar tracking system using boolean algorithm in order to optimize the output power from a dual-axes tracking-type system. A fixed-type PV module installed at tilt angles of 16 degrees served as the baseline to the dual-axes tracking type system. The boolean algorithm was developed in a National Instruments (NI) LabVIEW user interface software. The direct-tracking system power showed 32 % improvement over the fixed-system power. The study only focused on the summer season in the Highveld of South Africa prompting that further study needs to be conducted for the other seasons to establish if the results will still hold.
All living organisms use two universal genetic languages in their molecular biology machinery, one containing four nucleotide bases in its alphabet, and the other containing twenty amino acids in its alphabet. They ca...
详细信息
All living organisms use two universal genetic languages in their molecular biology machinery, one containing four nucleotide bases in its alphabet, and the other containing twenty amino acids in its alphabet. They can be understood as the optimal encodings of genetic information for the tasks they carry out, i.e. replication/transcription for DNA/RNA and translation for polypeptide chains. These tasks select needed letters of the alphabet by complementary nucleotide base-pairing, from a collection of molecules in the cell. The computer science paradigm for this process is database search;various algorithms for it can be constructed and compared according to number of attempts (or queries) they need to make to find the correct nucleotide base-pairing. Grover's search algorithm based on oscillatory wave dynamics perfectly fits the number of queries needed to search the genetic alphabets, and it is more efficient than the best boolean search algorithm (i.e. binary tree search) that needs a larger number of queries. This result strongly suggests that the universal genetic languages have been selected by evolution as the optimal alphabets for the tasks they carry out, and are not an accident of history. The outstanding challenge is to demonstrate how Grover's search algorithm would be executed in vivo by the living organisms.
Using the 2010, 2015, and 2020/2021 datasets of the IMF's Central Bank Legislation Database (CBLD), we explore artificial intelligence (AI) and machine learning (ML) approaches to analyzing patterns in central ban...
详细信息
Using the 2010, 2015, and 2020/2021 datasets of the IMF's Central Bank Legislation Database (CBLD), we explore artificial intelligence (AI) and machine learning (ML) approaches to analyzing patterns in central bank legislation. Our findings highlight that: (i) a simple Na & iuml;ve Bayes algorithm can link CBLD search categories with a significant and increasing level of accuracy to specific articles and phrases in articles in laws (i.e., predict search classification);(ii) specific patterns or themes emerge across central bank legislation (most notably, on central bank governance, central bank policy and operations, and central bank stakeholders and transparency);and (iii) other AI/ML approaches yield interesting results, meriting further research.
This study introduces a novel web-based method for the rapid bulk creation of dam fill compartment models, aimed at guiding the construction of dam and enhancing construction efficiency. Firstly, the boundary lines of...
详细信息
ISBN:
(纸本)9798400718267
This study introduces a novel web-based method for the rapid bulk creation of dam fill compartment models, aimed at guiding the construction of dam and enhancing construction efficiency. Firstly, the boundary lines of the left and right banks of the dam are generated through boolean operations between the three-dimensional terrain model and the elevation surface. Secondly, closed filling zones are divided based on the boundary lines. Finally, a batch of fill compartment models are obtained through stretching manipulation. This innovation marks a departure from traditional compartment planning methods, offering modeling flexibility and error tolerance in planning schemes. Key findings include: 1. the feasibility of combining boolean algorithm with interactive stretching algorithm for swift dam model construction, 2. the method's enhancement of model creation convenience through direct web platform operations, leveraging digitalization's advantages, and 3. the algorithm's suitability and promotional value for web-based dam filling model creation.
Clinically speaking, most spinal fractures are caused by fall or traffic accidents. If, after a trauma, there are failures or limitations in the movement on the lower limbs, it is suspected that thoracolumbar fracture...
详细信息
ISBN:
(纸本)9781538643426
Clinically speaking, most spinal fractures are caused by fall or traffic accidents. If, after a trauma, there are failures or limitations in the movement on the lower limbs, it is suspected that thoracolumbar fracture had occurred. There are different types of spinal fractures: compression fracture burst fracture, seat belt type injury and dislocation fracture. The treatment of spinal fractures remains one of the most challenging tasks for neurosurgeons. Accurate assessment of the severity of the injury and the preoperative planning to reduce injuries during the surgery are very important. The purpose of this study is to improve the feasibility, the accuracy and the effectiveness of the preoperative planning by computer aided and 3D printing techniques. The research mainly uses CT images of inpatients. The DICOM file of the CT images are converted into 3D image files. The 3D image files are then imported into the 3D modeling software to simulate the nailing angle and the depth of the fixed mode using the boolean algorithm. Afterwards, a 3D FDM printing device is used to print a physical model of the affected area for preoperative planning and discussion. CT scan image of post-operative follow-up examinations can be converted and printed out again for evaluation purposes.
暂无评论