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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.


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TL;DR: In this paper, a bi-criteria optimization model and methodology was developed for the problem in which both the distance and the costs of compensations referred to as Social Cost by the authors were minimized concurrently.
Abstract: Rail construction to link major towns or cities is capital intensive, affecting directly or indirectly the tax-payer and owners of property and businesses situated along the path of the rail network. It is in this regard especially that actions that can mitigate or reduce the impact to victims and extraneous cost to the project become important. Two ways are to identify and use the shortest path linking the source and the destination and to factor into the project the cost of demolition and or displacement of property, persons, and businesses. In a previous work of the authors, a bi-criteria optimization model and methodology was developed for the problem in which both the distance and the costs of compensations referred to as Social Cost by the authors were minimized concurrently. Unlike the previous works however, the current paper is premised on testing the model and methodology on real data obtained in connection with a potential case of rail construction to link a town and a major City in Ghana. Furthermore, unlike in the previous works, a model is developed for the social cost criterion and the resulting bi-criteria optimization model run in Matlab using the real data. The results produced four non-dominated paths with the same distance and social cost values for decision-making. Therefore, there can be costs benefits in approaching rail construction in Ghana on the basis of the model.
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TL;DR: The objective of the exploration is to build up a setting based security model and engineering for ACS to accomplish an indistinguishable level of self-direction and inescapability from human autonomic frameworks.
Journal ArticleDOI
TL;DR: In this article, an equation for load sharing capacity coefficient of the uniformly loaded slab in shorter and longer directions was developed by combining Hillerborg strip method analysis basic assumption with the deflection compatibility at the intersection point of two orthogonal strips.
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TL;DR: In this article, the authors presented the work done in the creation of an exhaustive and large unconstrained Tamil Handwritten Character Database (uTHCD) consisting of around 91000 samples with nearly 600 samples in each of 156 classes.
Abstract: Handwritten character recognition is a challenging research in the field of document image analysis over many decades due to numerous reasons such as large writing styles variation, inherent noise in data, expansive applications it offers, non-availability of benchmark databases etc. There has been considerable work reported in literature about creation of the database for several Indic scripts but the Tamil script is still in its infancy as it has been reported only in one database [5]. In this paper, we present the work done in the creation of an exhaustive and large unconstrained Tamil Handwritten Character Database (uTHCD). Database consists of around 91000 samples with nearly 600 samples in each of 156 classes. The database is a unified collection of both online and offline samples. Offline samples were collected by asking volunteers to write samples on a form inside a specified grid. For online samples, we made the volunteers write in a similar grid using a digital writing pad. The samples collected encompass a vast variety of writing styles, inherent distortions arising from offline scanning process viz stroke discontinuity, variable thickness of stroke, distortion etc. Algorithms which are resilient to such data can be practically deployed for real time applications. The samples were generated from around 650 native Tamil volunteers including school going kids, homemakers, university students and faculty. The isolated character database will be made publicly available as raw images and Hierarchical Data File (HDF) compressed file. With this database, we expect to set a new benchmark in Tamil handwritten character recognition and serve as a launchpad for many avenues in document image analysis domain. Paper also presents an ideal experimental set-up using the database on convolutional neural networks (CNN) with a baseline accuracy of 88% on test data.
Journal ArticleDOI
01 Dec 2021
TL;DR: In this paper, the stability of approximate Lie derivations with additive, quadratic, cubic, quartic functional equations has been investigated, and the relationship of reciprocal derivations dealt in this study with automorphism has been discussed.
Abstract: This investigation is carried out by the inspiration of noteworthy results pertaining to approximate Lie $$\star $$ -derivations connected with various additive, quadratic, cubic, quartic functional equations. For the first time, we study the stabilities of reciprocal Lie $$\star $$ -derivations and reciprocal-quadratic Lie $$\star $$ -derivations in the setting of normed $$\star $$ -algebras through direct method. The stabilities associated with different upper bounds are also discussed. In addition, we present the relationship of reciprocal derivations dealt in this study with automorphism. The comparative study of stability results obtained in this investigation is also discussed at the end of this paper.

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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202214
2021294
202053
20192
20182
20171