Higher College of Technology

About: Higher College of Technology is a based out in . It is known for research contribution in the topics: Higher education & Tourism. The organization has 369 authors who have published 379 publications receiving 729 citations.

Literature Review of Disease Detection in Tomato Leaf using Deep Learning Techniques

Abstract: Tomatoes are the most common vegetable crop widely cultivated in the agricultural fields in India. The tropical climate is ideal for its growth, however certain climatic conditions and various other factors affect the normal growth of tomato plants. Apart from these climatic conditions and natural disasters, plant disease is a major crisis in crop production and results in economic loss. The traditional disease detection methods for tomato crops could not produce the expected outcome and the detection period for diseases was slow. The early detection of diseases can give better results than the existing detection models. Thus, computer vision-based technology deep learning techniques could be implemented for earlier disease detection. This paper introduces a comprehensive analysis of the disease classification and detection techniques implied for tomato leaf disease identification. This paper also reviews the merits and drawbacks of the methodologies proposed. This paper finally proposes the early disease detection technique to identify tomato leaf disease using hybrid deep-learning architecture.

Exergetic Evaluation of a Biomass Gasifier operated Reversible Flatbed Dryer for Paddy Drying in Parboiling Process

Abstract: Paddy drying is an energy-intensive process that influences the quality of rice. In the present study, a pilot-scale reversible flatbed dryer operated with biomass gasifier was designed and constructed to dry the soaked paddy with high moisture content (38 % w.b.) in the parboiling process. The paddy dryer has a maximum designed capacity of 30 kg/batch. The performance of the dryer along with the main components of the system is evaluated using the exergy analysis method for the optimal operating condition of 75 °C drying air temperature and 0.12 m/s drying air velocity. The Hot Air Generator (HAG) is found to be the most important component for improving the system efficiency followed by the scrubber and gasifier. The Grassmann diagram for the overall drying system is also presented to quantify the exergy loss from the various components of the system components. The exergetic factor (f) and the Sustainability Index (SI) of the system components are calculated to indicate the quantity of exergy handled and environmental sustainability respectively. The gasifier unit accounts for more than 60 % amount of the total exergy of the system. The exergy efficiency is found to be 70.929 % for gasifier, 62.411 % for scrubber, 35.288 % for HAG, 11.30-76.65 % for drying cabinet with an average value of 34.81 %, and 5.267-14.44 % for the overall drying system. The average exergy efficiency of the overall drying system is found as 21.28 % respectively.

Optimization and characterization of pectin recovered from Persea americana peel using statistical and non-statistical techniques

Abstract: The intention of this present study is to optimize the recovery of pectin from Persea americana peel (PAP) examining four independent process variables (pH, solvent to substrate ratio (SSR) (ml/g), agitation time (AGT) (h), and agitation speed (AGS) (rpm)) and compare the pectin recovery (PR) using statistical (Box-Behnken response surface design (BBRESD)) and non-statistical (artificial neural network (ANN) with genetic algorithm (GA)) methods. Optimal condition derived in ANN-GA (pH of 1.9, SSR of 16 ml/g, AGT of 2.1 h, AGS of 99 rpm, and PR of 90.59%) has forecast PR very precisely than BBRESD (pH of 2, SSR of 14 ml/g, AGT of 2 h, AGS of 100 rpm, and PR of 85.44%). Extrapolative capacities of two methods were examined by several statistical restraints. Structural analysis (FT-IR and XRD) of PR was exhibited that highly esterified and amorphous nature of pectin was recovered from PAP. Recovered pectin was melted at the temperature of 258.5 °C which was similar to commercial pectin. SEM observations revealed that recovered pectin was flake and spherical particle. The results of this work suggested that pectin from PAP is one of the good sources to recover pectin with good quality as commercial pectin and used as a food ingredient.

Intestinal parasite infections in diabetes mellitus patients; A cross-sectional study of the Bolgatanga municipality, Ghana

Abstract: Diabetes mellitus (DM) is a chronic disease which predisposes affected people to the acquisition of intestinal parasites. This study was conducted to detect the prevalence of intestinal parasites (ITPs) infection among DM patients and to identify their socio-demographic and clinical characteristics. The cross-sectional study was conducted among 152 diabetes mellitus patients selected from three hospitals in the Bolgatanga municipality. Stool samples were collected from the participants and examined using direct wet mount, formol-ether concentration, and modified Ziehl-Neelsen (ZN) staining methods. Questionnaires were designed to elicit socio-demographic information from participants and medical history was obtained from hospital folders. A prevalence of 12.5% ITP infections was recorded. Ascaris lumbricoides (5.3%), Cryptosporidium parvum (15%), Entamoeba hystolytica (21.1%), Entamoeba coli (15.8%), Giardia lamblia (47. 4%) and Hookworm (5.1%) were detected. Fasting blood glucose (FBG) (p

Design and Implementation of IoT Testbed with Improved Reliability using Conditional Probability Techniques

Abstract: Internet of Things (IoT) test beds are widely used by developers predominantly. Off late, Test beds are being used by data analysts, academicians, industrial persons and hardware ardent. The real purpose of test beds, is to achieve accurate testing results, mimicking the real time environment to the extent possible which is otherwise not possible to reproduce using simulators. As predicted by many industrial giants IoT based devices will reach the scale of billions by 2015. The applications and opportunities they create will also be innumerable. This has created a huge demand for such testing grounds, because a system deployed without proper testing may be vulnerable and sometimes disastrous. Thus our research aims to explore the qualities of test beds, the services they offer and how to enhance the performance of test beds. Our test bed framework is designed and developed with open-source boards to achieved heterogeneity, reusability, interoperability and scalability. This framework would like to be addressed as a utility, with “X” as service: data, sensor client, actuator client, and platform. To achieve this, APIs which is platform and language independent has been developed and provides third-party developer support. The APIs developed have shown considerable improvement in terms of data transfer rate, database upload and retrieval, and user responsiveness. Thus, our framework is capable of offering services through our API. And have demonstrated with the help of conditional probability techniques enhancement in performance and reusability, visualized the same in terms of graphs and datasets.