Papers by Kingsley Theophilus Igulu
IPV6: Strengths and Limitations
Internet of things, 2024
Security Challenges in IOT
Internet of things, 2024
An overview of artificial intelligence and blockchain technology in telehealth systems
Recent advances in AI and blockchain technology in modern telehealth systems
Access to essential and corporate information through mobile devices has become a routine activit... more Access to essential and corporate information through mobile devices has become a routine activity. Vehicle navigation systems, like audio systems, are becoming standard equipment. These devices are very handy and user-friendly and such users can access needed information from databases from any location, anytime utilizing wireless and cellular communications. This study systematically reviews Mobile Database Systems for Green Mobile Computing Ecosystem. 343 papers where sourced. 42 of them made it to the final stage. 341 were excluded based on title and abstract. We presented the review in a table. 90% of the work focused on MDS and 10 on GMC. The study shows that Green Mobile Database Systems has very few literatures and it is a promising research niche.
This research paper aims to address the growing concern of cybersecurity threats in the healthcar... more This research paper aims to address the growing concern of cybersecurity threats in the healthcare industry. In order to achieve this, the study conducted an extensive literature review to identify the best practices and strategies for mitigating such risks. In the propose study, we proposed an algorithm that can help prevent unauthorized access to patient data. In order to implement our proposed algorithm, we developed strong authentication and access control measures using Python programming code. These measures include multi-factor authentication and role-based access control, which can help ensure that only authorized individuals have access to patient data. Finally, this research paper presents a comprehensive approach to mitigating cybersecurity risks in healthcare. The proposed algorithm and strong authentication and access control measures can serve as a useful guide for healthcare organizations to enhance their cybersecurity posture and protect patient data respectively.
IoT Devices Battery Life Energy Management Scheme
Computology: Journal of Applied Computer Science and Intelligent Technologies
Enhanced Cybersecurity Framework for 5G-Integrated Oil and Gas Industry
Computology: Journal of Applied Computer Science and Intelligent Technologies
Artificial Intelligence in Healthcare
Advances in business information systems and analytics book series, Jun 24, 2022
An Investigation into the Conceptual Controversies between Artificial Intelligence and Computational Intelligence
Artificial intelligence (AI) is one of the oldest and best known research fields in computer scie... more Artificial intelligence (AI) is one of the oldest and best known research fields in computer science which is aimed at giving intelligence in machines. In spite of enormous effort geared towards AI, its boundary and interference to other fields are yet undefined. The controversy in AI’s boundary has bred some concepts which are in no practical sense different from the goal of AI. Most of these concepts are; computational intelligence (CI), soft computing (SC), natural computing (NC), machine learning (ML), approximating reasoning (AR), fuzzy logic (FL) and adaptive computing (AC). There is still not an objective boundary of these concepts. This paper investigates the conceptual controversies between AI and CI. AI and CI are major contending concepts that have posed confusions to researchers and students. We have cited some definitions and comments about AI and CI from trusted sources. After thorough analysis of the definitions and comments, our own view of what AI and CI are is pres...
An Efficient Point Data Indexing Structure for Multidimensional Range Queries
Since the main memory is expensive and volatile persistence data cannot be kept in main memory. M... more Since the main memory is expensive and volatile persistence data cannot be kept in main memory. Most databases utilize the secondary/tertiary storage. The main overhead of using a secondary storage is access time. This is usually high in multi-dimensional databases like OLTP that are characterized by recurrent updates and queries. The use of secondary/tertiary storage inherently suggests indexing. Indexing helps to retrieve/store the required data/ data segments faster than iterating through the table. Indexing enhances speed of querying. In multi-dimensional databases (like OLAP databases) the essential tool for accessing data is the range query (or window query). In extant databases, B-Trees and its variants are the convention for indexing. But the major setback of B-trees is that they are single attribute index structures. Which implies that the record of such database are ordered by a particular attribute usually but not necessarily the primary key. This limits range query restriction on one particular attribute of the table. The use of multiple B-trees indexing for various attributes of a table is the convention for achieving range query for other attributes. The use of multi-indexing is additive and poses so many drawbacks (additional space required and speed is hampered). With the exponential burst of data, there is need for a better data structure with efficient query algorithm that has high storage capacity and also considerably fast (algorithm) for multidimensional range queries. This paper discusses a multidimensional indexing structure that is fast and also consumes virtually equivalent space as though is a single attribute structure. Experiment show that the structure has multiplicative complexities and is immune to the curse of dimensionality.
Decision support system for route optimization using agent-Based software engineering approach
International Journal of Multidisciplinary Research and Development, Nov 1, 2019
Numerous occurrences of traffic jams and possible deadlocks on our Nigerian roads network nowaday... more Numerous occurrences of traffic jams and possible deadlocks on our Nigerian roads network nowadays requires that one need to have prior knowledge of the road at real time before taking decision on which route to ply. The inability of road users to know several available possible alternative routes from a point to a destination of travel is of great important. Hence the need for this research paper in which its main aim is to develop an intelligent road route optimizer using Agent-Based Software Engineering (ABSE) approach that is capable of modeling an intelligent road route optimization and implement this model using ABSE approach which is geared to making an effective decision in terms of which route to ply.
IJARCCE, 2016
In domain specific modeling language development, model interactions and transformations play a c... more In domain specific modeling language development, model interactions and transformations play a crucial role. This paper introduces a new, syntax directed approach for the specification of modelinteractions for transformations within a domain specific modeling language. The technique is based on tokenization of the characteristic values and attributes of possible component elements of a fluid supply system. To demonstrate the mapping, expression parse trees and streams of tokens are recursively specified as syntax directed definitions in a context free grammar. With each grammar symbol, a set of attributes are associated, and with each production, a set of semantic rules for mapping values of the attributes corresponding to a typical fluid supply system physical design and modeling parameters are associated. The main contributions are the specifications that will aid the design of a domain specific modeling language for the representation of transformations and translation scheme execution engine for the target domain of fluid supply systems, and another is a possible pathway for the implementation of the semantics of the language with a syntax directed scheme that consists of a grammar and the set semantic rules.
A Model For Electrocardiogram (ECG) Classification Using Convolutional Neural Network (CNN)
International Journal of Advanced Research in Computer and Communication Engineering, 2021
Electrocardiogram (ECG) is an intermittent sign, which mirrors the movement of the heart. From EC... more Electrocardiogram (ECG) is an intermittent sign, which mirrors the movement of the heart. From ECG a great deal data is gotten for typical and obsessive physiology of heart. The ECG signal is non-fixed in nature and extremely hard to dissect. Clinical perception takes long time and the sign is non-fixed. This paper presents a convolutional neural network algorithm for electrocardiogram signal classification. This system uses a ECG dataset which was downloaded from kaggle.com. The dataset signals were preprocessed to make sure that each segment conforms to a heartbeat. This dataset was read into the jupyter notebook by using pandas.read_csv function. The dataset was made into two, which are the training data and the testing data. After successful reading of the data signal from directory and solving of the in balance problem by means of data augmentation, the proposed model was trained using a convolutional neural network(CNN) algorithm with a total hidden layers of six, hiden size of 128, batch_size of 96, and number of epoch to be 10. After successful training, we had an accuracy of 99% at an epoch level of 10. 1. INTRODUCTION Diseases influencing heart have gotten normal on daily basis. Diseases influencing heart is expanding as a result of present day feeble way of life increment in ailments like diabetes, hypertension and tobacco smoking. Heart can be influenced because of various conditions. Electrocardiogram (ECG) is one of the basic, effectively accessible, more affordable, effectively feasible, non-obtrusive examinations accessible at all spot incorporating provincial territories with insignificant framework. Specialists at the far off spots with fundamental clinical information may not be all around prepared to decipher an ECG. Appropriately diagnosing cardiovascular (heart related) condition at the most punctual is of most extreme significance. During these ailments, time matters the most. Consistently delay in treating them, trail to more harm in heart muscle bringing about antagonistic result. Consequently, exact distinguishing proof and early diagnosing these heart infections is vital. Anticipating patients into low and high danger is vital. Okay patients can be dealt with locally at a similar clinic with insignificant framework itself. High-hazard patients require early reference to cardiovascular reference clinics. ECG affirms or associates the finding with myocardial localized necrosis, arrhythmias and different conditions. When affirmed, they are treated with prescriptions or methodology (medical procedures) contingent upon the patient subtype and the offices accessible [1]. Electrocardiogram (ECG) is an intermittent sign, which mirrors the movement of the heart. From ECG a great deal data is gotten for typical and obsessive physiology of heart. The ECG signal is non-fixed in nature and extremely hard to dissect. Clinical perception takes long time and the sign is non-fixed. In this way, computer based method is utilized in ECG investigation. The rule of ECG signal is electrical movement. This is sent through the body and pick up on the skin. At last, the ECG machine records the action utilizing terminals and show graphically. The ECG signal comprises of dreary complex waveform with a recurrence estimation of 1 Hz. Each cardiovascular cycle comprises of three waves, for example, P wave QRS wave and T wave. These waves are delivered because of the capacity of atria and ventricular pieces of the heart. Cardiovascular illness is one of the significant reasons for death in the western reality where in excess of 16 million kick the bucket every year [2]. An Electro cardio realistic sign is recorded on a long timescale to recognize discontinuously happening aggravations in the heart musicality. To diminish the cardiovascular illnesses the way of life changes, for example, decreased cholesterol admission and customary exercise are obligatory. Early discovery is an essential advance in the cardiovascular sickness. To gauge the electrical sign from various pieces of heart two sorts of terminals are utilized. They are appendage anodes and chest terminals. The P wave is created by atrial depolarization, the length is under 120 ms, and this can be considered as low recurrence wave. ORS complex wave has span of 70-110 ms and T wave is delivered by the repolarization of ventricles having length more noteworthy than 300 ms [3]. Electrocardiogram (ECG) accounts are frequently debased by a lot of commotion and ancient rarities that can be inside the recurrence band of helpful heart information and can show with comparable morphologies to the ECG waveform itself [4]. Not exclusively does the presence of commotion and antiquity meddle with the right acknowledgment of QRS,
Intelligent Road Emergency Response System using GAIA and JADE
International Journal of Engineering Research and
Numerous occurrences of traffic jams and possible deadlocks on our Nigerian roads network nowaday... more Numerous occurrences of traffic jams and possible deadlocks on our Nigerian roads network nowadays requires that one need to have prior knowledge of the road at real time before taking decision on which route to ply. The inability of road users to know several available possible alternative routes from a point to a destination of travel is of great important. Hence the need for this research paper in which its main aim is to develop an intelligent road route optimizer using Agent-Based Software Engineering (ABSE) approach that is capable of modeling an intelligent road route optimization and implement this model using ABSE approach which is geared to making an effective decision in terms of which route to ply.
Since the main memory is expensive and volatile persistence data cannot be kept in main memory. M... more Since the main memory is expensive and volatile persistence data cannot be kept in main memory. Most databases utilize the secondary/tertiary storage. The main overhead of using a secondary storage is access time. This is usually high in multi-dimensional databases like OLTP that are characterized by recurrent updates and queries. The use of secondary/tertiary storage inherently suggests indexing. Indexing helps to retrieve/store the required data/ data segments faster than iterating through the table. Indexing enhances speed of querying. In multi-dimensional databases (like OLAP databases) the essential tool for accessing data is the range query (or window query). In extant databases, B-Trees and its variants are the convention for indexing. But the major setback of B-trees is that they are single attribute index structures. Which implies that the record of such database are ordered by a particular attribute usually but not necessarily the primary key. This limits range query restriction on one particular attribute of the table. The use of multiple B-trees indexing for various attributes of a table is the convention for achieving range query for other attributes. The use of multi-indexing is additive and poses so many drawbacks (additional space required and speed is hampered). With the exponential burst of data, there is need for a better data structure with efficient query algorithm that has high storage capacity and also considerably fast (algorithm) for multidimensional range queries. This paper discusses a multidimensional indexing structure that is fast and also consumes virtually equivalent space as though is a single attribute structure. Experiment show that the structure has multiplicative complexities and is immune to the curse of dimensionality.
In domain specific modeling language development, model interactions and transformations play a c... more In domain specific modeling language development, model interactions and transformations play a crucial role. This paper introduces a new, syntax directed approach for the specification of modelinteractions for transformations within a domain specific modeling language. The technique is based on tokenization of the characteristic values and attributes of possible component elements of a fluid supply system. To demonstrate the mapping, expression parse trees and streams of tokens are recursively specified as syntax directed definitions in a context free grammar. With each grammar symbol, a set of attributes are associated, and with each production, a set of semantic rules for mapping values of the attributes corresponding to a typical fluid supply system physical design and modeling parameters are associated. The main contributions are the specifications that will aid the design of a domain specific modeling language for the representation of transformations and translation scheme execution engine for the target domain of fluid supply systems, and another is a possible pathway for the implementation of the semantics of the language with a syntax directed scheme that consists of a grammar and the set semantic rules.
The use of graphics models for engineering design and practice alone is quite outdated; much more... more The use of graphics models for engineering design and practice alone is quite outdated; much more emphasis is centered on enhancing modeling by transforming these models to products that satisfies varied design intents. A more appropriate view, is modeling engineering designs through metamodeling. Metamodeling controls platform complexities and is productive by forming metamodel of models at a higher level of abstraction. It provides the semantic rules for the modeling environment, which consists of the instances of concepts in the metamodel. A metamodel in its original form describes the rules and constraints of the domain metatypes and metarelationships that are instantiated for use in regular modeling effort. This paper therefore presents a metamodeling framework for modeling engineering designs.
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Papers by Kingsley Theophilus Igulu