Evaluating the Effectiveness and Challenges of the Solid Waste Management System in Lilongwe City Council, Malawi
Posture and Stress Detection System using Open CV and Media Pipe
City Council Help Desk Support System
DDoS Attacks Detection using Different Decision Tree Algorithms
Comprehensive Study on Blockchain Dynamic Learning Methods
Efficient Agent Based Priority Scheduling and LoadBalancing Using Fuzzy Logic in Grid Computing
A Survey of Various Task Scheduling Algorithms In Cloud Computing
Integrated Atlas Based Localisation Features in Lungs Images
A Computational Intelligence Technique for Effective Medical Diagnosis Using Decision Tree Algorithm
A Viable Solution to Prevent SQL Injection Attack Using SQL Injection
The authors show that the mobile networks are highly un-predictable when viewed at the individual node scale, and the end-to-end Quality-of-Service (QOS) metrics can be stationary when the mobile network is viewed in the aggregate. Finally, they show how energy maps can be utilized by an application that aims to minimize a node's total energy consumption over its near-future trajectory. And also they have to determine whether the data will be reached on the destination within the time stamp or that would not be calculated.
Personal health monitoring or personal health tracking is done by individuals using intelligent tools like wearable sensors and mobile applications to collect, process and display a wealth of personal data to help them monitor and manage all aspects of their personal health. In this paper, a personal health monitoring system is proposed based on Android based mobile phone. The system is able to collect the sensor data to monitor the basic vital parameters such as heart rate using PPG signal from the non-invasive body sensors to the patient's android based Smart phone using Bluetooth technology. An Android application is developed to read the PPG signal over Bluetooth. The received signal has been further processed to acquire vital parameters such as heart rate. A live streaming graph as part of the mobile application is used to display the physical parameter in easily understandable manner. If the received signal range is beyond the threshold level, then a warning message will be send to the doctor and the caretakers. The captured data in Android will be stored in local SQLite database and sent to the centralized server when connectivity is available in the mobile phone. The centralized server offers web services that will receive data from various mobile and other client devices and log the data into a centralized database. The data will be available for consultants to track history of records. The proposed system will allow users, especially seniors with heart diseases and other continuous monitorable diseases, to conveniently record daily test results and track long term health condition, and their changes regardless of their locations. It does so without having to ask users to manually input them into the system. This system further integrated with GPS, and Google Map functionalities facilitate the user to trace the hospitals and consultants near their current location.
Asthma is a disease that affects over 300 million people worldwide and is disproportionately observed in the developing world where air pollution is sometimes more prevalent [1]. This disease can range in severity, causing the airways of the lungs to constrict and inflame, and the therapies can completely and permanently ameliorate the disease's effects on the respiratory system. One effective way to track the asthma symptoms is to monitor a patient's Peak Expiratory Flow (PEF). There are presently many different handheld PEF monitors commercially available, and these suffer from a variety of different limitations. Many current PEF meters are inaccurate, inconvenient to use, bulky, expensive, and rarely include real-time data plotting capabilities. The authors have created a user- friendly, accurate, and moderately inexpensive external mobile device accessory that records and stores the user's PEF, and graphs this data over time. They also have created a custom software interface to send this stored data electronically.
Lung cancer has been the largest cause of cancer deaths. In this Computed Tomography (CT) images are used which can be more efficient than X-ray. Hence, a lung cancer detection system using image processing is used to classify the presence of lung cancer in CT images. In this study MATLAB have been used. The process such as image preprocessing, Masking, Equalization and classifications are performed. To get more accurate results the sensitivity method is used.
The Z-source inverter is a relatively recent converter topology that exhibits both voltage-buck and voltage-boost capability. The Z-source concept can be applied to all dc-to-ac, ac-to-ac, ac-to-dc, and dc-to-dc power conversion whether two level or multilevel. Multilevel converters offer many benefits for high power applications. Z-source concept was extended to neutral point clamped inverter. The contribution of this paper is the digital implementation of SVM technique using 8-bit microcontroller for Z-source NPC. The proposed system uses 8-bit PIC 16F877A microcontroller to generate SVPWM (Space Vector Pulse Width Modulation) signal needed to trigger the gates of IGBT bridge of the multilevel inverter. This method has the benefits in terms of implementation and harmonic performance. By this method, the operation of Z-source arrangement can be optimized and implemented digitally without introducing any extra commutations.
Optimization is ubiquitous and spontaneous process that forms an integral part of day-to-day life. In the most basic sense, it can be defined as an art of selecting the best alternative among a given set of options. Optimization plays an important role in Engineering designs, Agricultural sciences, Manufacturing systems, Economics, Physical sciences, Pattern recognition[1] and other such related fields. The objective of optimization is to seek values for a set of parameters that maximize or minimize the objective functions subject to certain constraints. A choice of values for the set of parameters that satisfy all the constraints is called a feasible solution. Feasible solutions with objective function value(s) are as good as the values of any other feasible solutions, that are called as optimal solutions. In order to use optimization successfully, they must first determine an objective through which they can measure the performance of the system under study. That objective could be time, cost, weight, potential energy or any combination of quantities that can be expressed by a single variable. The objective relies on certain characteristics of the system, called variable or unknowns. The optimization algorithms come from different areas and are inspired by different techniques. But they are sharing some common characteristics. They are iteratives that are begun with an initial guess of the optimal values of the variables and then generate a sequence of improved estimates until they converge to a solution.
