Bayesian Spam Detection Framework on Mobile Device

2019 ◽  
Vol 12 ◽  
Author(s):  
Yitao Yang ◽  
Guozi Sun ◽  
Chengyan Qiu
Keyword(s):  
Real Time ◽  
Mobile Device ◽  
Bayesian Classification ◽  
Classification Algorithm ◽  
Spam Detection ◽  
Spam Filtering ◽  
Learning Mechanism ◽  
The Real ◽  
Filtering Method ◽  
Feedback Learning

In recent years, the spam message problem becomes more serious. Similar to spam mail, the spam message in phone brings a big trouble to users. Bayesian classification algorithm, which is simple to design and has the higher accuracy, becomes the most effective filtration methods. Bayesian classification algorithm, which is simple to design and has the higher accuracy, becomes the most effective filtering method. A Bayesian spam detection framework is designed in the paper and is deployed on Android device to test. Besides it can filtering coming messages and classify them into normal or spam in real time, it introduces feedback learning mechanism to make its result more accurate. The experiments are conducted under the real environment. The results show that the framework can meet the requirement of spam filtering.

Switching filtering method for interactive systems

2019 ◽  
Vol 233 (10) ◽  
pp. 1340-1350
Author(s):  
Junyi Hou ◽  
Lei Yu ◽  
Yifan Fang ◽  
Shumin Fei
Keyword(s):  
Real Time ◽  
Subjective Evaluation ◽  
Objective Evaluation ◽  
Interactive Systems ◽  
Interactive System ◽  
The Real ◽  
Noise Interference ◽  
Filtering Method ◽  
Time Performance ◽  
Filtering Effect

Aiming at the problem that the mixed noise interference caused by the mixed projection noise system is not accurate and the real-time performance is poor, this article proposes an adaptive system switching filtering method based on Bayesian estimation switching rules. The method chooses joint bilateral filtering and improved adaptive median filtering as the filtering subsystems and selects the sub-filtering system suitable for the noise by switching rules to achieve the purpose of effectively removing noise. The simulation experiment was carried out by the self-developed human–computer interactive projection image system platform. Through the subjective evaluation, objective evaluation, and running time comparison analysis, a better filtering effect was achieved, and the balance between the filtering precision and the real-time performance of the interactive system was well obtained. Therefore, the proposed method can be widely applied to various human–computer interactive image filtering systems.

scholarly journals Study of Chinese spam filtering Based on Improved Naive Bayesian Classification Algorithm

2021 ◽  
Vol 2083 (4) ◽  
pp. 042079
Author(s):  
Kaiying Zuo
Keyword(s):  
Mobile Communications ◽  
High Accuracy ◽  
Bayesian Classification ◽  
Classification Algorithm ◽  
Classification Method ◽  
Spam Filtering ◽  
White List ◽  
Evolution Algorithm ◽  
Simulation Results ◽  
Content Based Filtering

Abstract Spam is a growing threat to mobile communications. This paper puts forward some mitigation technologies, including white list and blacklist, challenge response and content-based filtering. However, none are perfect and it makes sense to use an algorithm with higher accuracy for classification. Bayesian classification method shows high accuracy in spam processing, so it has attracted extensive attention. In this paper, a Bayesian classification method based on annealing evolution algorithm is introduced into Chinese spam filtering to improve the accuracy of classification. Our simulation results show that the algorithm has better performance in spam filtering.

scholarly journals Augmented Reality Design of Indonesia Fruit Recognition

2018 ◽  
Vol 8 (6) ◽  
pp. 4654
Author(s):  
Dewi Agushinta R. ◽  
Ihsan Jatnika ◽  
Henny Medyawati ◽  
Hustinawaty Hustinawaty
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mobile Device ◽  
Virtual Worlds ◽  
Real World ◽  
The Real ◽  
Technological Advances

Augmented Reality (AR) is one of the popular technologies nowadays. Along with the technological advances, Augmented Reality is an effort to combine the real world and virtual worlds created through computers so that the boundary between the two becomes very thin because Augmented Reality allows users to interact in real-time with the system. Augmented Reality can be applied in various fields according to the needs of each user. One application is on Android-based mobile hardware applications. This research developed the Augmented Reality battle with some of the features more interactive, interesting and clearer information to facilitate the user in its operation. This Augmented Reality is applied to the Android mobile device with the name of FruitGarden. This paper presented of designing Augmented Reality for recognizing the fruit of Indonesia archipelago which will give a different view of performing the fruit image and information.

scholarly journals Develop algorithms to determine the status of car drivers using built-in accelerometer and GBDT

2022 ◽  
Vol 12 (1) ◽  
pp. 785
Author(s):  
Thi Thu Nguyen ◽  
Phuc Thinh Doan ◽  
Anh-Ngoc Le ◽  
Kolla Bhanu Prakash ◽  
Subrata Chowdhury ◽  
...  
Keyword(s):  
Real Time ◽  
Emergency Departments ◽  
Mobile Application ◽  
Classification Algorithm ◽  
Acceleration Sensor ◽  
The Real ◽  
Average Accuracy ◽  
The Status ◽  
To Come ◽  
Better Than

<span>In this paper, we introduce a mobile application called CarSafe, in which data from the acceleration sensor integrated on smartphones is exploited to come up with an efficient classification algorithm. Two statuses, "Driving" or "Not driving," are monitored in the real-time manner. It enables automatic actions to help the driver safer. Also, from these data, our software can detect the crash situation. The software will then automatically send messages with the user's location to their emergency departments for timely assistance. The application will also issue the same alert if it detects a driver of a vehicle driving too long. The algorithm's quality is assessed through an average accuracy of 96.5%, which is better than the previous work (i.e., 93%).</span>

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