International Journal of Computer (IJC)

An Adaptation of DSRC Protocol for V2V Communications in Developing Countries: End-to-End Delay Evaluation

Zongo Meyo, Nlong II Jean Michel, Ndoundam Réné — Sun, 16 Aug 2020 08:02:20 +0000

Vehicular Ad hoc NETworks (VANETs) help in improving road traffic safety and efficiency. In V2V communications, vehicles exchange kinematic information over a suitable protocol in order, either to warn other vehicles of a dangerous situation or inform them about the current status of the traffic flow. When using Wireless Access in Vehicular Environments (WAVE), also referred to as Dedicated Short Range Communication (DSRC) protocol, kinematic information is called Wave Short Messages (WSM), based on Basic Safety Message (BSM) defined by the SAE J2735 dictionary set. BSM is used for safety advertisement, either in one hop or multi-hop broadcasts. However, DSRC evaluations in many urban and sub-urban environments have shown that this protocol is highly sensitive to transmission conditions such as the density and speed of vehicles, antenna position, interference, etc., which makes it difficult to predict its performance. In this paper, we are interested in evaluating, based on various scenarios, the end-to-end delays when a particular emergency vehicle broadcasts BSM to all its nearby vehicles. The results are obtained by modeling and simulating a modified version of the DSRC protocol to fit the Cameroonian environment. Our results reveal that our adapted version of DSRC protocol performs very well and outperform others proposed protocols.

Human Resource Information System with Digital Archiving

Elwin S. Argana, Romy Jun A. Sunico, Virnille C. Francisco — Fri, 21 Aug 2020 06:03:12 +0000

This study aimed to develop an automated tool for Human Resource Information System (HRIS) with security code and verifier integrated module. Rapid Application Development (RAD) Model was used in the planning, creating, deploying, and testing the system. VisualBasic.net, Navicat, and Dezign were utilized in the system development and MySQL as database. The system helps manages employees’ records, in particular, information for leave credits, service records, and training development programs. It also tracks employees' performance and skills and manage the office resources. Using the system evaluation based on the ISO 9126 standard, the system has a high rate of usability (4.27), functionality (4.35), maintainability (4.23), and efficiency (4.30). Thus, the system is believed to provide a significant contribution to the productivity of the Human Resource employees; thereby, generating a due and timely feedback to the administration.

Stationary Wavelet Transform(SWT) Based MRI Images Enhancement and Brain Tumor Segmentation

Aye Min, Nu War — Thu, 27 Aug 2020 06:40:51 +0000

Brain tumor is the anomalous growing of Brain cancer cells. Because of its complex structure, brain tumor segmentation and identification are very difficult tasks in medical field. As with MR image processing, MR images are particularly sensitive to noise, resulting in errors in image acquisition and transmission such as Gaussian noise and impulse noise, etc. MRI image is filtered with Median filter and Wiener filter simultaneously to improve the MR image The Stationary Wavelet Transform (SWT) is then used to combine both Median and Wiener filter results. After preprocessing, Adaptive K-means clustering is used for image segmentation. In the post processing step, morphological operation and Median filter are used to get better segmentation results. This method is applied to the BRATS-2015 dataset, which consists of multi-sequence MRI data available to the public from patients with brain tumors. The well-known, based line methods are compared for comparing the proposed system. Mean Square Error (MSE) and Peak Signal Noise Ratio (PSNR) are used in evaluation of the enhancement. For testing tumor segmentation measures, True Positive Rate (TPR), True Negative Rate (TNR), Accuracy, and Jaccard Similarity Index are used. Compared with dependent line methods and state of the art, this system performs well, especially for the entire tumor area.

SEN-Iot: A Smart Emergency Notification System Suitable for Developing Countries using Internet of Things

Sun, 06 Sep 2020 06:35:23 +0000

Research has shown that disaster effects on properties and lives can be drastically reduced through wide dissemination of information on the impending danger to people at the appropriate time. Generally, the emergency alert systems are usually proactive systems; they are meant to gather data in surrounding using the necessary tools, alert the specified listeners about an impending danger and gives suggestion on the necessary actions to be taken in each situation. In addition, some emergency alert systems also activate automatic responses. Furthermore, the integration of Internet of things (IoT) technology with emergency notification systems is rapidly attracting new discovery in this domain. In this paper, an effective smart emergency notification system named SEN-IoT was design using IOT technology. SEN-IoT was modeled to manage domestic hazard with a scope of water, fire and gas leaks; by creating an emergence notification and immediate response systems. The SEN- IOT was implemented using arduino, sensors and the GSM module. The system was tested for maintainability, functionality, efficiency, usability and reliability, and results revealed that SEN-IoT can effectively handle domestic hazard.