Volume IX Issue IV

The papers incorporate with Photovoltaic (PV) -Battery based hybrid micro-grid for both grid connected and islanded modes using hybrid adaptive MPPT algorithm. Control and power management is done by hybrid adaptive Maximum Power Point Tracking (MPPT) algorithm followed by SEPIC converter with battery. Solar PV used as an input source for both battery and grid. PV cells which have non-linear P-V characteristics differ with changing solar radiation. In this adaptive hybrid MPPT algorithm is used to track the peak power point of solar PV and which is helps to improve the efficiency of the system. The hybrid adaptive MPPT is combination of Adaptive Incremental conductance (AIC) and Adaptive Perturb and Observe (APO) method. Battery storage is employed to mitigate the power fluctuations due to the characteristics of PV panels and continuously varying solar irradiation. The proposed project is tested by using MATLAB/SIMULINK environment and the results are verified using simulation results.

The brain tumor is a deformed tissue mass formed by the uncontrollable multiplication of tissue cells. The location of tumor in the brain is identified using MRI (Magnetic Resonance Imaging). Manual evaluation of the scans in tons as observed in the medical application is time and energy consuming. Thus, in this paper, an automated method of detection for brain tumor is adapted using an efficient variant of neural network called CNN (convolutional neural network). A five-layer CNN is implemented which provides feature extraction and classification, then an authentication provided by doctor is implemented, which is displayed using a GUI (Graphical user interface). The primary purpose of authentication is to achieve ensured security for patent’s personal health information. Further an e-report is generated using the concept of file handling in python.

In this research was investigated of possibility using the recorded micro tremor data on ground level as ambient vibration input excitation data for investigation and application Operational Modal Analysis (OMA) for bench-scale aluminum bridges. As known OMA methods (such as EFDD) are supposed to deal with the ambient responses. For this purpose, analytical and experimental modal analysis of a bench-scale aluminum bridge for dynamic characteristics was evaluated. 3D Finite element model of the building was evaluated SAP2000 for the bench-scale aluminum bridge based on the design drawing. Ambient excitation was provided from the recorded micro tremor ambient vibration data on ground level. Enhanced Frequency Domain Decomposition is used for the output only modal identification. From this study, very best correlation is found between mode shapes and frequencies .Shown the eigensensitivity–based finite element model updating and given its application to bench-scale aluminum bridges. The fundamental periods and corresponding mode shapes for the bench-scale aluminum bridges were determined experimentally using ambient vibration measurements. The modal parameters obtained experimentally were used to calibrate a finite element model of the structure. Based on the eigen sensitivity-based FE model updating procedure a summary of the changes the FEM results to the EMA results is presented graphically and numerically in percent to the initial state of the structure. As seen from the modal updating result MAC values were generated between analytical and experimental mode shapes. Main difference between mode shapes of the FEM and EMA was explained. Modal updating from the MAC that the 90% approach in the mode shapes nearly reached 100% after the ±5% increase in mass density which is made from the material properties (ρ)

In the future, space commercialization will trigger the quest for space assets. Space investigation will be directed to a shortage of assets as conveying the assets from the earth itself for the advancement of space-based ventures won't be attainable. Receiving the strategy for mining the Near-Earth Asteroids (NEAs) could be a plausible and practical method for conquering this issue and could upset the stockpile of imperative for human civilization. Spectral analysis and ground-based information propose that NEA can contain water, volatiles and some high-esteem materials worth up to billions of dollars. Studies recommend that few new NEAs will be found later on could build the likelihood that asteroidal mining tasks can rely upon low vitality missions. Thinking about the potential applications, Asteroidal mining can be a spine for future space expedition. This paper presents a complete survey of assets accessible from NEA, innovative and prudent parts of Asteroid Mining. This literature study can be isolated into four sections: i) Exploration (NEA disclosures and assessed populace) ii) Analysis (topographical portrayal of NEA) iii) Extraction (different strategies to concentrate and procedure the assets) iv) Economical viewpoints (financial investigation and its noteworthiness in upcoming days). We have additionally talked about the attainability to direct a space mission in terms of potential orbits and all other technical difficulties are featured.

The Solar Radiation for Yola in Adamawa State of has been studied and evaluated so as to remedy the fluctuating electric power, particularly, in Yola which received an average only about 15 MW instead of 40 MW from the Yola Electricity Distribution Company. The analysis shows that the solar radiation in joule per unit area has a fluctuating pattern with a peak in 2013 (corresponding 811.68J/m2) and its least value in 2016 (approximately 543.02J/m2). The mean monthly solar radiation obtained for this region is 677.51J/m2 which is within the threshold for which PV/ cell can generate power. Comparative analysis using the solar radiation at 0.5m height shows that the value of solar radiation can be categorized as moderate especially when compare with other towns in Nigeria. It is recommended that proper utilization of solar radiation should be encourage as a remedy for fluctuation of electricity in Yola Adamawa State and the neighboring states.

With a generation that is highly mobile, there is the desire to quickly access information on the go. These may include logging into the office system to retrieve a file, check bank account status or make one form of payment or the other, or even monitor what the children are doing at home while at work, using IP cameras, etc. Technological advancement in the 21st century while trying to make life easier and better for the global citizens comes accompanied with its associated risks. One of the unknown risks is the situation of not knowing that one is taking a risk by putting one’s information on the cyber space through the Internet. It is a known fact that the only assumption that can be made regarding the Internet is that it offers no security whatsoever. With the advent of the mobile phones, accessing the Internet is just a click away. This accessibility has become a necessary evil, as one is ‘compelled’ to fill one kind of form or the other with every click of the button, divulging personal information, not knowing who will intercept it for one reason or the other. This research through online survey and analysis tries to find out if cybercrime is a myth or a reality, especially in developing countries. If a reality, how do the cybercriminals extract information that may lead them to stealing vital information or money from their victims? Results suggest that cybercriminals of recent times seem to target individuals through SMS, E-mails and phone calls.

Handling emergency situations in healthcare industry usually require immediate and sudden attention. Despite the emergency nature of such conditions, some vital information from the patient’s previous health history is needed prior to the commencement of treatment or care. Delay in accessing the electronic health record (EHR) of emergency patients could result to catastrophic and damaging effects. The use of approaches such as token, smart card, hospital number etc., in order to access and secure the patient’s health records has proven ineffective in emergency situations since the patient could be unconscious. Moreover, those traditional means of authentication maybe lost, forged, forgotten or stolen. Again, the drawbacks associated with unimodal biometric access control for EHR such as spoof attacks, noise etc. reduces the effectiveness of systems developed with the single biometric mode. The aim of the paper is to examine comprehensively the use of biometrics approach, in particular, the multimodal biometrics for: (1) accessing quickly the appropriate section of the EHR of emergency patients, (2) identifying patients accurately and (3) providing security and privacy of the confidential patient. The review revealed that multimodal biometrics often majorly and practically fused at the matching score level seems to be a better option of securing and improving easy access to emergency patient’s digital health records, and ensures privacy and security of EHR. The implication of the research was that researchers wishing to develop biometric systems for EHR should consider using appropriate multimodal biometrics while adopting means of securing the biometric templates so as to improve efficiency and performance.

The world is moving towards digitization, so are the means of communication. Phone calls, emails, text messages etc. have become an integral part of message conveyance in this tech-savvy world. In order to serve the purpose of effective communication between two parties without hindrances, many applications have come to picture, which acts as a mediator and help in effectively carrying messages in form of text, or speech signals over miles of networks.

The heavy metal (Iron, Lead, Zinc and Cadmium) concentrations from the soil of mechanic workshops were determined using Atomic Absorption Spectrophotometry (AAS). The metals were extracted by adding 10 cm3 of 50 % hydrochloric acid (HCl) to 2 gram portion of the soil samples and digested on electric hot plate. The extract was diluted to 50 cm3 with deionize water and the Atomic Absorption Spectrophotometry determination was carried out. The samples analyzed showed the mean concentrations of 0.902 mg/kg, 0.491mg/kg, 0.143 mg/kg and 0.00176 mg/kg of Fe, Pb, Zn and Cd respectively. The permissible limits recommended by WHO/FAO for Lead, Cadmium and Zinc are 0.3 mg/kg, 0.2 mg/kg and 0-250 mg/kg respectively. All the heavy metal concentration except Zinc and Cadmium were higher than WHO standard limits. In addition, the study concluded that the soil in Kobo mechanic workshops in Lapai is polluted with high concentration of Iron and Lead thus not safe for plant, animal and other living organisms.

Capital formation and its effective utilisation is a main stream activity in any business. Managers of various specialisations and at different levels of organisation would be expected to contribute to efficient use of capital funds. The following article makes an attempt to present the basic features of capital mobilisation and a balanced use of such capital for the day to day business. The principles of capitalisation as established by various authors and researches are reviewed.

This paper presents the enhancement of small signal stability of a two-machine system using power system stabilizer (PSS) and static var compensator (SVC). To achieve this, a power system stabilizer and static var compensator of a two-machine electric power system was modeled in MATLAB/SIMULINK environment and analyzed. A single-phase to ground fault was applied to the system at a response time of 5 seconds without the inclusion of the PSS and SVC. This process was repeated with inclusion of the power system stabilizer (PSS) and static var compensator (SVC) and the results noted. Also a three phase fault was initiated and response time noted. When a single phase fault is applied to the system, the speed of the generator stabilized at about 3seconds with the PSS in operation. The multiband (MB) PSS damped faster than the Generic (Pa) PSS. For a three phase fault, the generator speed stabilized at about 3.5 seconds and the voltage of the line normalized at 2 seconds. The results indicated an improvement in overall stability of the system using PSS and SVC with reduced response time.

In the applications that include relative motion between a fluid and a solid body, the circulation bubbles in the body wake affect greatly the exerted thermal transport and drag on the body. In each studied case in the present work, we move part of the body surface and investigate the change in the drag and heat transfer from the fluid around this body. In some cases, we suggest rotating a cylinder that is mounted next to a backward-facing step located in the entrance to a duct. It is required to investigate the heat transfer and the drag on the cylinder, the step, and the wall downstream of the step. The investigation is executed with different values of Reynolds numbers, different cylinder rotation speeds, and different cylinder positions. The results showed that a maximum local Nusselt number value of 31.3 could be achieved at Reynolds number, Re, equals 400, when the cylinder is at height H, that equals half the step height, S and is rotating counterclockwise at rim speed, ω r, that equals five times the inlet velocity, Ui. The non-dimensional force on the step in the opposite flow direction achieved a maximum value of -0.103 with Re=400, H=1.0 S, and ω r=5 Ui. Another suggested case is to move a cylinder in the corner of a simulated bus, where, the drag was reduced by 7.3% when Re=6817, and ωc = Ui/r.

There is always a positive correlation between employee morale and his sense of well being on the job this may be manifested in the form of positive motivation, job performance, higher productivity and job satisfaction of an employee. However, all though employee morale can be attributed as an inborn trait of an employee it has to be systematically boosted up and minted by healthy management practices. High morale can be result of multifarious factors experience by him. Both within the work environment and his life and relationship with other entities like his yearly education, friends, family and society. In this article an attempt has been made to trace most of the interacting forces that can be improved and morale of an employee that may help the organisation to achieve its goal.

Objective: To explore the pharmacological effects on the central nervous system (CNS) of Chloroform and ethanol extracts of Alangiumsalvifolium sub sp.hexapetalum Methodology: Pergulariadaemia was found to be used traditionally for the treatment of central nervous system related disorders. To evaluate the folkloric activity the plant was extracted using various solvents such as chloroform and ethanol. The extracts were evaluated for locomotor activity tests indicative of unlikely to involve a direct action on γ-aminobutyric acid type A (GABA-A) receptors using actophotometer and also for depressant study using forced swim pool tests. The % inhibition of the locomotor activity was found using the cutting off the beam of light falling on the photocell using rats. The CNS depressant activity in forced swim pool test was evaluating by measuring the period of immobility (passive floating without struggling, making only those movements which were necessary to keep its head above the surface of water). Results: From the evaluation it was found that the ethanol extract (200 mg/ml) had better CNS depressant activity when compared to chloroform extract. Mechanisms that possibly underlie this activity include activation of the inhibitory GABAergic system. Conclusion: The pharmacological properties of the ethanol extract of Pergulariadaemia studied here opens a promising new avenue of research in the field.

Decision-making in the medical field remains a difficult task for medical doctors as a result of confusable diseases. Indeed there is uncertainty when a medical doctor encounters confusability of symptomatic presentation of diseases due to the fact that they share common symptoms and as such becomes difficult for the medical doctor to correctly diagnose them. A major landmark of medical practitioners is the ability to carry out successful diagnoses and prevent diseases. Hence, it is very essential to implement a system that reduces cases of mis-diagnosis which could arise from confusable diseases. In this study, we developed an Improved Fuzzy-based Model for diagnosing Confusable Diseases in Nigeria. Software Development Lifecycle Methodology (SDLC) was adopted in this approach. Furthermore, we implemented with Hypertext Pre-processor and MySQL database as backend. The obtained results of the study showed that the proposed system outperforms the existing system in diagnostic speed and symptom processing. The evaluated parameters of the proposed system obtained values of 54 seconds and 45 seconds respectively for diagnostic speed and symptom processing when compared to the existing system which had values of 67 seconds and 84 seconds respectively. In addition, this study could be beneficial to medical doctors and their respective patients in the Nigerian Health Sector.

The processing of huge amount of data is usually a tedious task for big multi enterprises and corporate organizations, hence the need for an improved query processing technique to handle big data. Big Data management tools and techniques are rising in demand due to the use of Big Data in businesses. Organizations can find new opportunities and gain new insights to run their business efficiently. These tools help in providing meaningful information for making better business decisions. The companies can improve their strategies by keeping in mind the customer focus. Big data analytics efficiently helps operations to become more effective, thereby, improving the profits of the company. This study investigates an Improved Query Processing Technique for Big Data Management. The Proposed System was implemented with PHP Programming Language due to its unique Graphical User Interface as Frontend, and MySQL Relational Database Management System (RDBMS) as backend. Furthermore, we adopted Structured System Analysis and Design Methodology (SSADM) in this approach. Our results show an increase in the efficiency of the business and analysis of data becomes easier and quicker. This, in turn, leads to fast and better decision making, saving time and energy. The insights provided by the big data analytics tools could help in knowing the needs of customers better. This work will be beneficial to companies that handle big data and to the customers of such companies.

Changing of land use types and formation of the new pattern is a common phenomenon in dynamic urban agglomeration. Studying the spatiotemporal changes of the urban pattern is an important, timely task for the decision-making purpose of city sustainability. The research objective is to capture spatiotemporal variations of the built-up area and how these relationships compare and contrast between spatial and temporal aspects. For this purpose, Kandy City has been selected as a study area,and geospatial analysis was performed using remote sensing data for 1996, 2006, and 2017. The results revealed that the Kandy City had undergone a drastic urban expansion, and it was upgraded by 40% in the last three decades. Proximity calculation shows that the built-up area (BUA) expansion shows the linear development pattern leads by the transportation system.Meanwhile, it illustrated that more than 95% of BUA has accumulated within a kilometer area form road. Results have been discussed by focusing on how to line up urban structures for city sustainability. Some recommendations and possible implicationshave been discussed.The output of the research can be used as proxy indicators, and the proposed methods will be able to apply any city by making necessary calibration on data.

The research aims to detect the onset of drowsiness of drivers, while the vehicle is in motion. Detection is done by continuously looking out for symptoms of drowsiness, while considering physical signs. Physical cues including yawning, drooping eyelids, closed eyes and increased blink durations. Once the system detects that the driver is drowsy by using a combination of these factors, it alerts the driver across multiple stages depending on the severity of the symptoms.