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23 results for “Energy Detection Method”
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Research ArticleOpen accessIn the abstractCONTENT BASED BATIK IMAGE RETRIEVALA. Haris Rangkuti, Agus Harjoko, Agfianto Eko PutroContent Based Batik Image Retrieval (CBBIR) is an area of research that focuses on image processing based on characteristic motifs of batik. Basically the image has a unique batik motif compared with other images. Its uniqueness lies in the characteristics possessed texture and shape, which has a unique and distinct characteristics compared with other image characteristics. To study this batik … …Journal of Computer Science, Vol. 10, Issue 6 · 27 Jan 2014 · 7,417 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of an Energy-Efficient, Secure and Reliable Wireless Sensor Networks Routing Protocol Based on Data Aggregation and User AuthenticationA. Gopi Saminathan, S. KarthikData aggregation protocols are required in Wireless Sensor Networks (WSNs) to improve the data accuracy and extend the network lifetime by reducing the energy consumption. The existing Data Aggregation-Optimal LEACH (DAO-LEACH) protocol for WSN is enhanced in terms of security and fault-tolerance based on Gracefully Degraded Data Aggregation (GDDA) to ensure the integrity of the aggregated data and Hybrid Layer … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 6,855 accessesView PDFCite
Research ArticleOpen accessIn the abstractMass Classification in Digital Mammograms based on Discrete Shearlet TransformJ. Amjath Ali, J. JanetThe most significant health problem in the world is breast cancer and early detection is the key to predict it. Mammography is the most reliable method to diagnose breast cancer at the earliest. The classification of the two most findings in the digital mammograms, micro calcifications and mass are valuable for early detection. Since, the appearance of the masses are … …Journal of Computer Science, Vol. 9, Issue 6 · 1 Jun 2013 · 6,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractPro-Active Prevention of Clone Node Attacks in Wireless Sensor NetworksK. M. Anandkumar, C. JayakumarProblem statement: Wireless mobile sensor networks are deploying large, self-organized and adaptable sets of sensors for many applications such as military, environmental, health care, remote monitoring and other applications. Unfortunately, the simplicity and low-cost of these sensors make eases cloning of compromised nodes by attackers in the network. Due to the unattended nature of wireless sensor networks, an adversary can … …Journal of Computer Science, Vol. 8, Issue 10 · 28 Aug 2012 · 7,072 accessesView PDFCite
Research ArticleOpen accessIn the abstractReview of Energy Detection for Spectrum Sensing in Various Channels and its Performance for Cognitive Radio ApplicationsR. Suresh Babu, M. SuganthiSpectrum sensing is the basic and important operation in Cognitive Radio (CR) to find the unused spectrum. Energy detector is a popular sensing method because it doesn’t require transmitted signal properties, channel information, of even the type of modulation. This study summarizes the performance result of energy detector over Additive White Gaussian Noise (AWGN), Rayleigh fading and Nakagami fading channels. … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 4 Aug 2012 · 7,766 accessesView PDFCite
Research ArticleOpen accessIn the abstractWave V Detection Using Instantaneous Energy of Auditory Brainstem Response SignalM. M. Rushaidin, Sh-Hussain Salleh, Tan Tian Swee et al.Problem statement: ABR machine is a well known machine that has been used on detection of hearing problem especially for babies or children. In ABR, wave V is the most prominent and robust wave that has been used as indicator of hearing loss. However, a fast detection of the wave V is necessary in order to implement newborn hearing screening. … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping and Testing Dynamic Models for HVAC Systems Using System Identification ApproachNabil Nassif, Jasmine Buford, Taher M. Abu-LebdehThis paper proposes integrated modeling and optimization methods for a chilled water HVAC system using a system identification approach. Two multiple input-single output models are developed to find the supply air temperature and fan power of the investigated chilled water air handling unit AHU. To test the proposed models, actual data are collected from existing HVAC systems. Different fan and … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 1 · 15 Mar 2017 · 7,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractEr: YAG Laser Device for Taking Blood SamplesJosé L. Cabrera, Luis Ponce, Miguel Arronte et al.Problem statement: Secure methods for blood sampling which is performed at present by metallic lancets, has been a concern in the modern medicine in order to diminish the risk of contamination. A novel solution has appeared recently and consists in the use of laser pulses which ablates a tiny hole in skin. Approach: A laser device with Er: YAG active … …OnLine Journal of Biological Sciences, Vol. 8, Issue 1 · 31 Mar 2008 · 7,179 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPeriodic Service Behavior Strain Analysis-Based Intrusion Detection in CloudS. Priya, R. S. PonmagalThe problem of intrusion detection in cloud environments has been well studied. The presence of adversaries would challenge data security in the cloud by generating intrusion attacks towards the cloud data and should be mitigated for the development of the cloud environment. In mitigating intrusion attacks, there exist several techniques in the literature. The method uses different features like frequency … …Journal of Computer Science, Vol. 20, Issue 2 · 28 Dec 2023 · 5,082 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Novel Anomaly Detection Approach for Nifty Stocks using Machine Learning for Construction of Efficient Portfolio to Reduce Losses and Protect GainsVirrat Devaser, Priyanka ChawlaMachine Learning is the most essential and widely utilized methodological approach these days for performing, organizing, and analyzing data using a variety of approaches to produce correct and efficient results. Machine learning methodologies are also applicable to stock markets, which have grown multi-fold in recent years, and with the amount of money involved, the possibility of manipulation is always present … …Journal of Computer Science, Vol. 18, Issue 5 · 6 Jun 2022 · 6,443 accessesView PDFCite