Journal of Computer and Communications

Journal Information
ISSN / EISSN : 2327-5219 / 2327-5227
Published by: Scientific Research Publishing, Inc. (10.4236)
Total articles ≅ 1,072
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Latest articles in this journal

Man Liu, Lei Yu
Journal of Computer and Communications, Volume 10, pp 51-62; https://doi.org/10.4236/jcc.2022.104005

Abstract:
In order to solve the problem that it is difficult for students to find self-study classrooms because of the limited classroom resources, combined with the current situation of informatization in colleges and universities, a feasible method of students counting in classrooms based on head detection is proposed. This method first collects the scene images in the classroom at regular intervals based on the existing examination monitoring system, and then uses the offline trained AdaBoost cascade detector to detect the head candidate region in the images. Then, the trained CNN-SVM model is used to further identify the head, and finally the identification results are processed and the number of students in the classrooms is counted. The test and practice show that the query system for the idle situation of self-study classrooms constructed by coordinating the classroom seat capacity, classroom scheduling data and the students counting in the classroom based on the above method can easily query the current crowded degree of the students in the classrooms, which plays a good guiding role for students to find self-study classrooms. The method has strong reference and promotion significance for solving similar problems in other universities.
Zhecheng Long
Journal of Computer and Communications, Volume 10, pp 66-85; https://doi.org/10.4236/jcc.2022.103005

Abstract:
With the development of society, the users of mobile devices and electronic devices increase exponentially. As a result, the demand of high-performance communication system becomes more and more significant. Optical wireless communication (OWC) is an effective method to address the increasing number of internet users, which is a promising field. It is significantly important to understand the parameters and characteristics of communication channel if researchers want to design, generate, accomplish, and operate the OWC systems. In this paper, the propagation model discussed in optical wireless communication can be divided into two types: directed Line of Sight (LOS) propagation model and non-Line of Sight propagation model. In case of directed LOS, multipath reflection does not need to be addressed, which is easier to calculate the LOS channel gain. In case of non-Line of Sight propagation, there are some reflections produced from room ceilings and walls, which can be divided mainly into two methods: first order reflection and second order reflection. Based on the conventional diffuse systems and optical wireless systems with angle diversity receivers, the impulse response, delay spread and signal to noise ratio (SNR) will be calculated. In order to optimize the optical wireless system access point and wavelength allocation to users so as to maximize the sum rate offered to all users, the mixed-integer linear programming (MILP) model was proposed and developed.
Feifei Wang, Lin Wang, Yunxian Hou
Journal of Computer and Communications, Volume 10, pp 29-45; https://doi.org/10.4236/jcc.2022.103003

Abstract:
In order to improve the scientific layout of urban emergency material reserve, first, considering that the road condition has an important impact on the effect of emergency rescue, the concept of road damage risk factor is introduced in this article to build satisfaction attenuation function based on the thought of demand satisfaction decreasing within the coverage radius; second, based on the maximum coverage model, a multi-objective and multi-repeated cover model was established to solve the limited supply capacity of emergency supplies reserve; finally, the model is verified by using Yanqing district in Beijing. The study’s results showed that the improved maximum coverage model can scientifically determine the coverage and quantity of emergency supplies of each emergency material reserve, and improve the efficiency and scientificity of emergency supplies distribution. In order to avoid the disorderly distribution of emergency supplies, it is suggested that the coverage radius and scope of the emergency material reserve should be determined based on the balance between supply and demand.
Mynoddin, Mohd. Foyzul Kabir, Nazrul Islam, Rezaul Karim, Hasin Rehana, Sayed Asaduzzaman
Journal of Computer and Communications, Volume 10, pp 10-28; https://doi.org/10.4236/jcc.2022.103002

Abstract:
In this research, the denoising of speckled SAR image has been done with fuzzy filters (ATMED, TMED, ATMAV & TMAV). SAR image or Synthetic Aperture Radar image consists of the informatics of ISW (Internal solitary waves). A new technique has been proposed which preserved the edge pixels by fuzzy edge detection method and then altered with the filtered image-pixels by fuzzy filtration for getting the denoised image. The comparative result shows that the proposed filter performs better than the other filtered results in terms of PSNR (41.61 dB), MAE (1.47), MSE (4.54) for TMAVxAPE & SSIM (81%) for ATMEDwAPE. The proposed method in this research shows better SSI (Spackle Suppression Index) value. Therefore the experimental result illustrates that the suggested fuzzy filter is much more capable of simultaneously protecting edges and suppressing speckle noise. This research will be beneficial to remove spackle noise from SAR images and can be used for remote sensing and mapping of surface area of earth.
Enas M. Abd Allah, Doaa E. El-Matary, Esraa M. Eid, Adly S. Tag El Dien
Journal of Computer and Communications, Volume 10, pp 1-18; https://doi.org/10.4236/jcc.2022.102001

Abstract:
Nowadays, machine learning is growing fast to be more popular in the world, especially in the healthcare field. Heart diseases are one of the most fatal diseases, and an early prediction of such disease is a vital task for many medical professionals to save their patient’s life. The main contribution of this research is to provide a comparative analysis of different machine learning models to reach the most supporting decision for diagnosing heart disease with better accuracy as compared to existing models. Five models namely, K-Nearest Neighbor (KNN), Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and Extreme Gradient Boost (XGB), have been introduced for this purpose. Their performance has been tested and compared considering different metrics for precise evaluation. The comparative study has proven that the XGB is the most suitable model due to its superior prediction capability to other models with an accuracy of 91.6% and 100% on two different heart ailments datasets, respectively. Both datasets were acquired from the heart diseases repositories where dataset_1 was taken from the University of California, Irvine (UCI) and dataset_2 was from Kaggle.
Joseph Voufo, André Marie Mbakop, Florent Biyeme, Rolland Djomi, Pélagie Flore Nanfack Temgoua, Jean Raymond Lucien Meva’A
Journal of Computer and Communications, Volume 10, pp 46-65; https://doi.org/10.4236/jcc.2022.103004

Abstract:
The management of information flow for production improvement has always been a target in the research. In this paper, the focus is on the analysis model of the characteristics of information flow in shop floor operations based on the influence that dimension (support or medium), direction and the quality information flow have on the value of information flow using machine learning classification algorithms. The obtained results of classification algorithms used to analyze the value of information flow are Decision Trees (DT) and Random Forest (RF) with a score of 0.99% and the mean absolute error of 0.005. The results also show that the management of information flow using DT or RF shows that, the dimension of information such as digital information has the greatest value of information flow in shop floor operations when the shop floor is totally digitalized. Direction of information flow does not have any great influence on shop floor operations processes when the operations processes are digitalized or done by operators as machines.
Fuchuan Du, Haili Wang, Hao Zhu, Qixin Cao
Journal of Computer and Communications, Volume 10, pp 141-150; https://doi.org/10.4236/jcc.2022.103009

Abstract:
This research develops an algorithm for health monitoring and uses the Infineon BGT60TR13C shield 60GHz radar to build a set of software and hardware demonstration platforms for algorithm verification. The algorithm can monitor the position, breathing, heartbeat and other information of the elderly in real time, which is used to judge the health status of the elderly and improve the convenience for early warning and rescue of abnormal situations in time. However, limited by the transmission power of this radar and the number of transmitting and receiving antennas, the current detection range of the algorithm is relatively small, and the ability to distinguish between multiple persons is limited. This problem can be optimized by replacing other types of radars in the future.
Piyu Zhou, Xinhang Hou, Haipeng Wang
Journal of Computer and Communications, Volume 10, pp 14-23; https://doi.org/10.4236/jcc.2022.104002

Abstract:
Sequence tag index in the field of computational proteomics can be used to facilitate faster open-search-based identification of modified peptides and in-depth analysis of mass spectrometry data. In protein-identification search engines, sequence tag index are playing a prominent role in recent ten years due to fast searching speed. However, in pursuit of less index space consumption, some protein search engines design excessively concise index schemes which lead to higher computational burden. We proposed a new tag index scheme named TIIP with a better balance between space and time complexity. TIIP has a unique two-level hierarchical index structure which allows rapid retrieval of all peptide sequences and their corresponding masses. Theoretically, the index space consumption of TIIP is not much higher compared to the typical tag index schemes, but the time complexity of sequence retrieval can be reduced to O(1), and practically, TIIP has about one million fold improvement in searching speed compared with brute force approach.
Manal A. Al-Qahtani, Mehmet Sabih Aksoy
Journal of Computer and Communications, Volume 10, pp 45-54; https://doi.org/10.4236/jcc.2022.105003

Abstract:
Nowadays, the world is frequently referred to as the “information world”. Companies rely on knowledge to differentiate themselves and get a competitive advantage. As a result, businesses pay close attention to knowledge management and devote a significant amount of time and resources to ensuring that knowledge is appropriately owned and exploited. Individual knowledge transfer is also a factor. The paper examines knowledge transfer and sharing, with the goal of determining the most effective internal communication tool for information transfer. The research findings should aid company management in organizing internal communication in a way that allows them to carry out their knowledge management plan.
Rushit Dave, Kyle Sargeant, Monika Vanamala, Naeem Seliya
Journal of Computer and Communications, Volume 10, pp 113-130; https://doi.org/10.4236/jcc.2022.105008

Abstract:
The field of psychology and health care are often viewed as very different. One of the main differences between these two fields is the application of prediction. When it comes to physical health, the health care and the medical field can predict outcomes of an individual’s health based on things like diet, exercise, and genetic makeup. Psychology is a little bit different; psychologists are great at predicting behavioral changes in patients, but the prediction of an individual’s mental health is not up to par with the prediction of physical health in the medical field for several factors. The scope of this study is to highlight how artificial intelligence has been applied to the field of psychology. In particular, how machine learning and deep learning technologies have been used to predict developmental risks of mental health disorders and risk of suicidal/self-injurious behaviors, as well as how artificial intelligence can be used to detect levels of depression.
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