Lagos State Polytechnic

About: Lagos State Polytechnic is a education organization based out in Ikorodu, Nigeria. It is known for research contribution in the topics: Feed conversion ratio & Bejan number. The organization has 199 authors who have published 179 publications receiving 1040 citations.

Class Attendance Management System Using Face Recognition

Abstract: We are living in a world where everything is automated and linked online. The internet of things, image processing, and machine learning are evolving day by day. Many systems have been completely changed due to this evolve to achieve more accurate results. The attendance system is a typicalexample of this transition, starting from the traditional signature on a paper sheet to face recognition. This paper proposes a method of developing a comprehensive embedded class attendance systemusing facial recognition with controlling the door access. The system is based on Raspberry Pi thatruns Raspbian (Linux) Operating System installed on micro SD card. The Raspberry Pi Camera, as well as a 5-inch screen, are connected to the Raspberry Pi. By facing the camera, the camera will capture the image then pass it to the Raspberry Pi which is programmed to handle the face recognition by implementing the Local Binary Patterns algorithm LBPs. If the student’s input image matches withthetrained dataset image the prototype door will open using Servo Motor, then the attendance results will be stored in the MySQL database. The database is connected to Attendance Management Syste(AMS) web server, which makes the attendance results reachable to any online connected web browser.The system has 95{\% accuracy with the dataset of 11 person images.

Modeling cation exchange capacity and soil water holding capacity from basic soil properties

Abstract: Cation exchange capacity (CEC) is a good indicator of soil productivity and is useful for making recommendations of phosphorus, potassium, and magnesium for soils of different textures. Soil water holding capacity (SWHC) defines the ability of a soil to hold water at a particular time of the season. This research predicted CEC and SWHC of soils using pedotransfer models developed (using Minitab 17 statistical software) from basic soil properties (Sand(S), Clay(C), soil pH, soil organic carbon (SOC)) and verify the model by comparing the relationship between measured and estimated (obtained by PTFs) CEC and SWHC in the Forest Vegetative Zone of Nigeria. For this study, a total of 105 sampling points in 35 different locations were sampled in the study areas. Three sampling points were randomly selected per location and three undisturbed samples were collected at each sampling point. The results showed success in predicting CEC and SWHC from basic soil properties. In this study, five linear regression models for predicting soil CEC and seven linear regression models for predicting SWHC from some soil physical and chemical properties were suggested. Model 5 [CEC = -13.93+2.645 pH +0.0446 C (%)+2.267 SOC (%)] was best for predicting CEC while model 12 [SWHC (%)=36.0- 0.215 S (%)+0.113 C (%)+10.36 SOC (%)] is the most acceptable model for predicting SWHC.

Performance evaluation of growing rabbits fed varying levels of rumen content and blood rumen-content mixture

Abstract: A total of 42 growing rabbits of different crossbreds with initial average weight of 1.20kg were fed rations in wghuch rumen content (RC) and blood-rumen content (BRC) proteins were substituted for groundnut cake protein in a completely randomized design. they were grouped into 7 treatments for 3 replicates, each containing 2 rabbits. They were fed RC and BRC in a practical diet at 10, 20 and 30% dietary inclusion levels for 56 days. The average daily feed intake(ADFI), average daily weight gain (ADWG), feed conversion ratio (FCR) and protein efficiency ratio (PER) were not significantly influenced (P>0.05) by the treatments. The dry matter and protein digestibility coefficients were significantly (P<0.05) affected. The feed cost per kg diet and feed per kg gain were significantly(P<0.05)influenced. Among the internal organs evaluated, the liver and the kidney weights, small intestine and caecum length were also significantly (P<0.05) influenced. The dressing percentage was also affected significantly (P<0.05). The study showed that RC and BRc could be influenced at 305 dietary inclusion in growing rabbit's ration without deleterious effect. However, further investigation into long-term effect of feeding on the orgns of the animal is suggested