Glove-Based Approach to Online Signature Verification

Utilizing the multiple degrees of freedom offered by the data glove for each finger and the hand, a novel online signature verification system using the Singular Value Decomposition (SVD) numerical tool for signature classification and verification is presented. The proposed technique is based on the Singular Value Decomposition in finding r singular vectors sensing the maximal energy of glove data matrix A, called principal subspace, so the effective dimensionality of A can be reduced. Having modeled the data glove signature through its r-principal subspace, signature authentication is performed by finding the angles between the different subspaces. A demonstration of the data glove is presented as an effective high-bandwidth data entry device for signature verification. This SVD-based signature verification technique is tested and its performance is shown to be able to produce Equal Error Rate (EER) of less than 2.37 percent

Real-time image quality assessment with mixed Lagrange time delay estimation autoregressive (MLTDEAR) model

A proposal to assess the quality of scanning electron microscope images using mixed Lagrange time delay estimation technique is presented. With optimal scanning electron microscope scan rate information, online images can be quantified and improved. The online quality assessment technique is embedded onto a scanning electron microscope frame grabber card for real-time image processing. Different images are captured using scanning electron microscope and a database is built to optimally choose filter parameters. An optimum choice of filter parameters is obtained. With the optimum choice of scan rate, noise can be removed from real-time scanning electron microscope images without causing any sample contamination or increasing scanning time

Combined Reconfiguration and Capacitor Placement for Distribution System Volt/Var Control through Opposition based Differential Evolution Algorithm

Power distribution systems must be very effective in power delivery. Utilities are continuously looking for recent technologies to enhance power delivery performance. The control of power loss is one of the most important issues directly related to system efficiency. Distribution system reconfiguration and optimal capacitor placement are the two most popular techniques adapted for the control of power loss. The techniques not only concentrate on power loss control but also control volt/var of the distribution system, and at the same time improve the system reliability and security. Former method is the process of changing the topology of distribution system by altering the open/closed status of switches to find a radial operating structure that minimizes the system real power loss while satisfying operating constraints. Later is the identification of optimal location and size of the capacitors with the objective of minimizing the power loss. This paper combines both reconfiguration and optimal capacitor placement for the effective optimization. Furthermore, it utilizes Opposition based Differential Evolution algorithm for efficient searching for the optimal solution. The effectiveness of the proposed approach is demonstrated by employing the feeder switching operation scheme to IEEE-33 bus Power Distribution systems. The proposed algorithm reduces the transmission loss and controls volt/var while satisfying power flow constraints.Distributivne energetske sustav mora biti vrlo učinkovit u prijenosu energije. Javni sektor neprestano traga za novim tehnologijama ne bi li povećao učinkovitost prijenosa. Upravljanje gubicima energije jedan je od najvažnijih problema koji je direktno povezan s učinkovitošću mreže. Rekonfiguracija distributivne mreže i optimalno pozicioniranje kondenzatora su dvije uvriježene metode koje su prilagođene za upravljanje gubicima energije. Navedene metode se ne koncentriraju samo na upravljanje gubicima već i upravljaju naponsko-reaktivnim prilikama distributivne mreže, i istovremeno povećavaju raspoloživost i pouzdanost sustava. Prva metoda uključuje postupak promjene topologije distributivne mreže promjenom stanja sklopki kako bi se našla radijalna operativna struktura koja minimizira gubitke radne snage u prijenosu uz zadovoljenje operativnih ograničenja. Druga metoda uključuje identifikaciju optimalne lokacije i veličine kondenzatora s ciljem minimizacije gubitaka snage. U ovom radu se kombiniraju obje metode, rekonfiguracije i optimalnog pozicioniranja, s ciljem učinkovite optimizacije. Za postupak optimizacije odabran je na opoziciji baziran genetski algoritam diferencijske evolucije s ciljem učinkovite pretrage optimalnog rješenja. Učinkovitost predloženog pristupa provjerena je primjenom komutacijske sheme srednjenaponske distributivne mreže na IEEE-33 sabirnici baziranim distributivnim energetskim sustavima. Predloženi algoritam smanjuje gubitke prijenosa i upravlja naponsko-reaktivnim prilikama mreže uz zadovoljenje ograničenja na tokove energije