Spectrum sensing algorithm based on stochastic resonance and non-central F-distribution by Yuanmeng FAN, Shunlan LIU

“…To solve the problem that the detection probability of the spectrum sensing algorithm is low and the number of samples required for detection is large at low signal-to-noise ratio (SNR), a spectrum sensing algorithm based on stochastic resonance and non-central F-distribution (SRNF) was proposed.By introducing direct-current stochastic resonance noise, the system model of SRNF was established, and the expression of test statistic, false alarm probability and detection probability, and the expression of decision threshold obeying non-central F-distribution were deduced, and the optimal stochastic resonance noise parameter was solved by numerical method.The simulation results show that the detection performance of the proposed SRNF algorithm is better than that of energy detection (ED) algorithm and blind spectrum sensing based on F-distribution (BSF) algorithm at a low SNR.When the false alarm probability is 5%, the SNR is -12 dB, and the number of samples is 200, the detection probability of the proposed algorithm is 95%, which is 34% and 67% higher than BSF algorithm and ED algorithm, respectively.When the SNR is -12 dB, and the detection probability reaches 95%, the number of samples required by the proposed algorithm is 210, which saves 340 samples compared to the BSF algorithm.Furthermore, the proposed algorithm is less affected by noise uncertainty than ED algorithm.…”
Get full text

A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
Get full text

A Modified Cycle Slip Detection Method with GNSS Doppler Assistance and Optimizing by Adaptive Threshold and Sliding Polynomial Fitting by Kezhao Li, Yunyan Shen, Xiaokui Yue, Yingxiang Jiao, Kai Wang, Zhe Yue, Keke Xu

“…At the sampling rate of 30 s and under the condition of the observed satellite altitude angle below 30°, the false alarm rate of the DAPSP-SPFAGF method is 0, but the TurboEdit method’s false alarm rate is 71.2%. …”
Get full text

Efficient Intrusion Detection System Data Preprocessing Using Deep Sparse Autoencoder with Differential Evolution by Saranya N., Anandakumar Haldorai

“…Yet, IDS face challenges to detect the intruders accurately with reduced false alarm rate, feature selection, and detection. High dimensional data affect the feature selection methods effectiveness and efficiency. …”
Get full text

Research on new energy station network security assessment method based on improved LSTM network by LIU Shan, LI Rui, WANG Yao

“…In order to solve the problem of the inability of the existing network security protection system for new energy stations to meet the needs of network anomaly monitoring and alarm caused by the large-scale integration of new energy, a new energy station network security assessment method based on an improved long short-term memory network was proposed. …”
Get full text

Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things by Jing Mi, Xinghua Sun, Shihui Zhang, Naidi Liu

“…The average time for sensor data update is 0.762 s. The average alarm response time is 2 s. The average data transfer time is 2 s. …”
Get full text

Analysis and Discussion of Atmospheric Precursor of European Heat Summers by Christine Träger-Chatterjee, Richard W. Müller, Jörg Bendix

“…However, using this index as predictor would lead to one false alarm and one missed event in the time series analysed (1958–2011). …”
Get full text

Threat to the predator suppresses defence of its prey by Monika Sysiak, Piotr Maszczyk, Andrzej Mikulski

“…We conducted laboratory experiments to test the hypothesis that high predator density, combined with chemical cues indicating predator stress (e.g. alarm and disturbance cues), may inhibit prey defences. …”
Get full text

A Dual-Hierarchy Synchronization Method for Signal Preambles with High Detection Rates for Satellite-Based ADS-B Receivers with Different Sensitivities by Xinhui Jian, Xuejun Zhang, Jianxiang Ma, Weidong Zhang

“…Existing methods are unable to achieve high detection rates and low false alarm rates of satellite-based Automatic Dependent Surveillance-Broadcast (ADS-B) signal preambles at extremely low signal-to-noise ratios (SNRs) using limited on-star resources. …”
Get full text

Study on Evaluation Theory of Bridge Damage State and Methodology on Early Warning of Danger by Guofu Jiang, Qianxue Liang, Hua Wang, Yucai Ju, Haihua Wang, Xirui Wang, Longlin Wang, Wensheng Wang

“…The experimental results showed that the proposed method has high evaluation and judgment accuracy, low false alarm rate, and good real-time performance and reliability.…”
Get full text

Detecting Unauthorized Movement of Radioactive Material Packages in Transport with an Adam-Optimized BP Neural Network Model by Panpan Jiang, Xiaohua Yang, Yaping Wan, Tiejun Zeng, Mingxing Nie, Chaofeng Wang, Yu Mao, Zhenghai Liu

“…The results demonstrate that the proposed method achieves a 99.17% accuracy rate in detecting unauthorized movements of radioactive materials, with a missed alarm rate of 0.72% and a false alarm rate of 0.1%. …”
Get full text

Enhanced Lithographic Hotspot Detection via Multi-Task Deep Learning With Synthetic Pattern Generation by Xinguang Zhang, Shiyang Chen, Zhouhang Shao, Yongjie Niu, Li Fan

“…Furthermore, we show a 22% improvement in TNSB hotspot detection and a 5X reduction in false alarms on HTC patterns compared to previous techniques. …”
Get full text

Patients with dengue clinical-epidemiological behavior. Comparative study of two case series by Carlos A. García Gómez, Samuel Sánchez Sánchez, Dagmara Pantoja Fonseca, Osvaldo Rodríguez Morales, Ana Laura Navarro Baldellot, Carlos García Mantecón

“…Variables such as: age, signs and symptoms, clinical findings, alarm signs, severe forms, and indicators of quality of care in dengue patients were analyzed.…”
Get full text

PRAPD: A novel received signal strength–based approach for practical rogue access point detection by Wenjia Wu, Xiaolin Gu, Kai Dong, Xiaomin Shi, Ming Yang

“…The results demonstrate that the practical rogue access point detection can significantly reduce the false alarm rate while ensuring a high detection rate.…”
Get full text

Port scan detection algorithms based on statistical traffic features

“…A slowly port scan detect method was presented based on the statistical traffic features.Two statistical features: the ratio between the number of hosts and ports a host communicates and similarities of the ports set,were selected to denote the traffic features.The CUSUM and wavelet transform methods were employed to analyze the features and detect the slowly port scan behaviors.The experimental results show that the methods proposed detect port scan behaviors effi-ciently and correctly,it has low false negative and false positive alarm rate compared with the Snort.…”
Get full text

DNS abnormal behavior detection based on IPFIX by Yun-long MA, Cai-ping JIANG, Qian-li ZHANG, Ji-long WANG

“…An algorithm based on IPFIX network flow data is proposed.By using proposed algorithm,suspicious and abnormal DNS will be detected accurately,and DNS traffic amplification attack will be distinguished rapidly.This algorithm has been applied in the Tsinghua University campus network.In our practice,DNS abnormal behaviors have been detected and alarm information has been sent to administrators.Thus,abnormal attack behaviors are restrained in time,and the monitoring and warning for abnormal traffic are all realized.…”
Get full text

Performance of XFAST in the presence of code Doppler by TANG Xiao-mei, YONG Shao-wei, WANG Fei-xue

“…The probability of detection and false alarm in XFAST（extended replica folding acquisition search technique） were introduced in the condition of code Doppler and deterioration of noise caused by replica folding.The simulation re-sults show that the model is correct,the equal signal to noise error is less than 0.5dB.The research is the academic base of XFAST parameter optimization and performance.When the extended replica folding number equal to 1,the model can be used to analyse other acquisition algorithm.…”
Get full text

Constructionof Security of Monitoring Platform in Electric Power Dispatching Internal Network by Lin Yuan, Xiasheng Gao, Tianhong Zhao

“…The platform acquires realtime security equipments operating status, alarms, and logs information, through standardized data processing, analysis and calculation, to achieve centralized monitoring, integrated alarm, hidden danger reminder, statistical analysis, report generation and decision functions.…”
Get full text

Subseasonal forecasts of heat waves in West African cities by C. G. Ngoungue Langue, C. G. Ngoungue Langue, C. Lavaysse, C. Lavaysse, C. Flamant

“…The performance of the forecast models in predicting heat waves is assessed through the computation of categorical metrics such as the hit rate, the Gilbert skill score and the false alarm ratio. The results suggest that at subseasonal timescales, the forecast models provide a better forecast than climatology, but the hit rate and false alarm rate are sub-optimal and the forecasts may be overestimating the duration of heat waves while under-predicting the intensity. …”
Get full text

Fusion spectrum sensing algorithm based on eigenvalues by Wenjing ZHAO, He LI, Minglu JIN

“…Aiming at the problem of inefficient use of spectrum resources,a fusion spectrum sensing algorithm based on eigenvalues was proposed to effectively achieve dynamic spectrum sharing.The test statistics were constructed by employing the maximum eigenvalue,the trace and the geometric mean of all eigenvalues of the sample covariance matrix.The detection probability and false alarm probability of the proposed method were analyzed using the random matrix theory,and the analytical representation of the theoretical threshold was obtained.In addition,the parameter selection of the proposed algorithm was analyzed theoretically.Simulation results show that the proposed algorithm has better detection ability than the existing eigenvalue detection algorithm.…”
Get full text