Journal of Computer and Communications

Journal Information
ISSN / EISSN : 23275219 / 23275227
Current Publisher: Scientific Research Publishing, Inc. (10.4236)
Total articles ≅ 869
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Mohamed Ellithey Barghoth, Akram Salah, Manal A. Ismail
Journal of Computer and Communications, Volume 8, pp 86-102; doi:10.4236/jcc.2020.83009

Abstract:
Project management is vital for software project success. Project Management Body of Knowledge (PMBOK), CMMI for Development (CMMI-DEV), and other software project management models and practices established to assist software organizations, each of these models offers diverse focal points. Combined effective software project management practices remain a challenge to software organizations. In striving to raise the likelihood of software project success, this paper introduces a framework for software project management effectiveness which integrated a set of software project management practices based on the PMBOK guide processes, CMMI-DEV processes, and management areas that influence a software project. The proposed framework called 4PTRB which includes people, process, product, project, technology, risk, and business management areas. The 4PTRB software project management framework provides a whole comprehensive view to help software project managers to improve their project management effectiveness. The framework is validated by conducting a web-based survey of software professional practitioners around the world. A statistical analysis of twenty software projects has been conducted as a case study thereafter, spanning small to large development projects. The consistency of the case study and survey results shows the power of the 4PTRB framework as an inclusive software project management framework.
Tasnim Ahmed, Mst. Shahnaj Parvin, Mohammad Reduanul Haque, Mohammad Shorif Uddin, Ahmed Tasnim, Shahnaj Parvin Mst., Shorif Uddin Mohammad
Journal of Computer and Communications, Volume 8, pp 35-42; doi:10.4236/jcc.2020.83004

Abstract:
Early detection of lung nodule is of great importance for the successful diagnosis and treatment of lung cancer. Many researchers have tried with diverse methods, such as thresholding, computer-aided diagnosis system, pattern recognition technique, backpropagation algorithm, etc. Recently, convolutional neural network (CNN) finds promising applications in many areas. In this research, we investigated 3D CNN to detect early lung cancer using LUNA 16 dataset. At first, we preprocessed raw image using thresholding technique. Then we used Vanilla 3D CNN classifier to determine whether the image is cancerous or non-cancerous. The experimental results show that the proposed method can achieve a detection accuracy of about 80% and it is a satisfactory performance compared to the existing technique.
Bedelkhanuly Azat, Tang Hong
Journal of Computer and Communications, Volume 8, pp 28-44; doi:10.4236/jcc.2020.81003

Abstract:
Now in modern telecommunication, one of the big topic research is a Vehicle Ad-hoc Network “VANET” (V2V). This topic is one of an “issues of the day” because research has problematic topic due to its many application-questions, what we need to solve: avoid collisions, any accidents on a way, and notifications about congestions on the road, available car parking, road-side commercial-business ads, and etcetera. These like application forms creating big delay constraining’s i.e. the instant data should reach the destination within certain time limits. Therefore, we need a really efficient stable clustering method and routing in vehicle ad-hoc network which will be resistant to network delays and meets network requirements. The methods are proposed in the paper for optimization VANETs data traffic as well as to minimizing delay. First, here is presented, a stable clustering algorithm based on the destination, contextually take into consideration various physical parameters for cluster formation such as location of the vehicle and its direction, vehicle speed and destination, as well as a possible list of interests of the vehicle. And also the next main process is to depend on these “five parameters” we can calculate the “Cluster Head Eligibility” of each car. Second, based on this “Cluster Head Eligibility”, described cluster head selection method. Third, for efficient communication between clusters, present a routing protocol based on the “destination”, which considered an efficient selecting method of next forwarding nodes, which is calculated by using “FE” metric.
Lianjun Zhang, Lifang Zhao, Gang Liu
Journal of Computer and Communications, Volume 8, pp 16-27; doi:10.4236/jcc.2020.81002

Abstract:
A spatiotemporal atlas refers to a standard image sequence that represents the general motion pattern of the targeted anatomy across a group of subjects. Recent years have witnessed an increasing interest in using spatiotemporal atlas for scientific research and clinical applications in image processing, data analysis and medical imaging. However, the generation of spatiotemporal atlas is often time-consuming and computationally expensive due to the nonlinear image registration procedures involved. This research targets at accelerating the generation of spatiotemporal atlas by formulating the atlas generation procedure as a multi-level modulation (M-ary) classification problem. In particular, we have implemented a fast template matching method based on singular value decomposition, and applied it to generate high quality spatiotemporal atlas with reasonable time and computational complexity. The performance has been systematically evaluated on public accessible data sets. The results and conclusions hold promise for further developing advanced algorithms for accelerating generation of spatiotemporal atlas.
Rolaida L. Sonza, Gilbert M. Tumibay
Journal of Computer and Communications, Volume 8, pp 17-26; doi:10.4236/jcc.2020.82002

Abstract:
The State Universities and Colleges (SUCs) in the Philippines have established a model of Gender and Development (GAD) tools. They have different activities but lack of organized data sources with particular data needed for gender analysis like the sex-disaggregated data. GAD data is very important in gender analysis to enable the GAD Focal Point System to have the basis for gender issues and concerns. In this paper, the authors present information technology-based solution where the GAD Focal Point System has basis for gender analysis and proposed undertakings using a classification system like decision tree algorithm. The approach is better for discovering relevant solutions in improving university programs and activities to achieve the goal of gender equality.
Benoît Crespin, Công Tâm Tran, Manuella Cerbelaud, Arnaud Videcoq, Emmanuelle Darles
Journal of Computer and Communications, Volume 8, pp 27-38; doi:10.4236/jcc.2020.82003

Amina Khatun, Mohammad Reduanul Haque, Rabeya Basri, Mohammad Shorif Uddin
Journal of Computer and Communications, Volume 8, pp 127-137; doi:10.4236/jcc.2020.84010

Abstract:
Haze is a very common phenomenon that degrades or reduces visibility. It causes various problems where high-quality images are required such as traffic and security monitoring. So haze removal from scenes is an immediate demand for clear vision. Recently, in addition to the conventional dehazing mechanisms, different types of deep generative adversarial networks (GAN) are applied to suppress the noise and improve the dehazing performance. But it is unclear how these algorithms would perform on hazy images acquired “in the wild” and how we could gauge the progress in the field. To bridge this gap, this presents a comprehensive study on three single image dehazing state-of-the-art GAN models, such as AOD-Net, cGAN, and DHSGAN. We have experimented using benchmark dataset consisting of both synthetic and real-world hazy images. The obtained results are evaluated both quantitatively and qualitatively. Among these techniques, the DHSGAN gives the best performance.
Anissa Benlarabi, Amal Khtira, Bouchra El Asri
Journal of Computer and Communications, Volume 8, pp 114-126; doi:10.4236/jcc.2020.84009

Abstract:
Software product line engineering is a large scale development paradigm based on mass production. It consists in building a common platform from which a set of products can be derived. Under the constraints of continuous evolution and costs optimization, the derivation process must be able to answer customers’ requirements and provide adequate products in a short time without defects. However, this purpose cannot be achieved if the customer must wait for the change is implemented in the common platform. In this paper, we describe our work which proposes a framework to manage derivation of adaptable products. An adaptable product is obtained by deriving the most similar product from the common platform and changing it to support the new requirements. The aim of the framework is to give quick response to the customers need while the new requirements are being implemented in the common platform. The framework includes tools for processing natural language requirements, computing the similarity between products on the basis of their requirements, and the product adaptation effort measuring.
Muda Jara, Tumsa Sisay, Tuni Amin, Prasad Sharma Durga, Jara Muda, Sisay Tumsa, Amin Tuni, Durga Prasad Sharma
Journal of Computer and Communications, Volume 8, pp 63-78; doi:10.4236/jcc.2020.87006

Abstract:
In the modern arena, the Information and Communication Technologies (ICTs) have been playing a vital role in every walks of our day to day life. In order to enhance the ICT capacity and align with the global technology transformations, the developing countries have started introducing the computerization and automation processes at different levels of the governments. The several research studies revealed that the existing legacy of governance system and their services in current state have several issues and challenges in terms of timeliness, cost of services, delay in service delivery, time-bound availability of services (24/7/365), inefficiency services, ease of service and discomforts, poor service collaboration, absence of responsiveness, and limited security of sensitive information/documents. A significant question is still unanswered that how to bring the Citizens and Government bodies closer for alleviating the aforementioned issues and challenges of existing government system services. This research paper aims to investigate the issues and challenges in the current status of Governance and partial E-Governance systems which encompass the computerization or automation process. The research designs a cloud framework for effective delivery of citizen centric services in general and Ethiopia as a specific case study. After rigorous analysis of prior research efforts, along with primary survey and interview, it was clearly observed that cloud computing can be an alternative instrumental for significant transformation of governmental service delivery. The research paper used a mix of exploratory and constructive research design and methodology with qualitative & quantitative data analysis approach. Finally, a Cloud Based E-Governance (CBEG) Framework is designed for the delivery of Ethiopian Citizen Centric Services. The validation, evaluation and acceptance test of the framework proves that the revealed knowledge can provide a significant transformation towards the betterment of the E Governance Services Delivery Systems.
Veton Kepuska, Mohamed Alshaari
Journal of Computer and Communications, Volume 8, pp 96-106; doi:10.4236/jcc.2020.85006

Abstract:
This study was concerned with the short vowels in modern standard Arabic words with Consonant Vowel-Consonant Vowel-Consonant Vowel (CVCVCV) structure, and the long vowels in words with Consonant Vowel Vowel-Consonant (CVVC). Even though there has been a dispute on the precise number of Arabic vowels that exist between language studies, this study used the opinion that the Arabic language has three vowels; the elongation of each vowel gave the other three because this is the opinion of classical Arabic linguists which is the source of the Modern Standard Arabic (MSA). Studies said that the first and second formant values (F1, F2) can represent the vowels. In this study, the formants were measured using LPC (Linear Predictive Coding), verifying the measurement to see if the measured follows the pattern of formants measurements of the other studies, and the formants were used to investigate the relationship between short and long vowels. Furthermore, the study figured out if the dialect of speakers can affect the values of formants, even if the spoken language is MSA, some statistical measurements were calculated to evaluate the relationship.
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