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In modern societies, handwritten identification is a great practical need and challenge for forensic sciences. Moreover, few research studies have focused on automatic offline handwritten document analysis. Also, there are very few standard datasets on handwritten document identification. In addition, handwritten documents lose their nature over time due to the spread and drying of ink. From this standpoint, the present study presents an offline writer identification system (in presence of the uncertainties such as different experimental conditions and environmental noises for more realistic assumptions) that is a critical need in forensic studies. For this purpose, a comprehensive right-to-left dataset is developed and devised by gathering data from 62 participants at different time intervals under different experimental conditions. This dataset is designed based on American Society for Testing and Materials (ASTM) standards. A Deep Convolutional Neural Network (DCNN) model based on modified pre-trained networks is designed and developed to extract features from raw data hierarchically. The proposed DCNN model is tested and investigated not only on the designed dataset but also on different datasets. One notable advantage of the present study is that it has made use of heterogeneous data. Another remarkable aspect of the proposed study is that the proposed DCNN model is independent of any specific languages which can be applied on various languages. The results of the study indicate that the proposed DCNN model can learn features hierarchically from the handwriting raw data and achieve higher accuracy than other comparative methods.

Today, the relational database is not suitable for data management due to the large variety and volume of data which are mostly untrusted. Therefore, NoSQL has attracted the attention of companies. Despite it being a proper choice for managing a variety of large volume data, there is a big challenge and difficulty in performing online analytical processing (OLAP) on NoSQL since it is schema-less. This article aims to introduce a model to overcome null value in converting document-oriented NoSQL databases into relational databases using parallel similarity techniques. The proposed model includes four phases, shingling, chunck, minhashing, and locality-sensitive hashing MapReduce (LSHMR). Each phase performs a proper process on input NoSQL databases. The main idea of LSHMR is based on the nature of both locality-sensitive hashing (LSH) and MapReduce (MR). In this article, the LSH similarity search technique is used on the MR framework to extract OLAP cubes. LSH is used to decrease the number of comparisons. Furthermore, MR enables efficient distributed and parallel computing. The proposed model is an efficient and suitable approach for extracting OLAP cubes from an NoSQL database.

Wavelength division multiplexing-based networks suffer from blocking probability due to wavelength contention resolution. Such a problem can even be worth when the advanced coherently modulation formats such as M-array quadrature amplitude modulation is used to increase the channel capacity beyond 100 Gbit/s. This paper presents theoretical study of cascaded sum frequency generation and difference frequency generation based tunable wavelength conversion in a periodically poled lithium niobate waveguide as a trivial solution to the wavelength blocking problem when advanced signal modulation formats are considered. It is shown numerically that wavelength conversion of single channel up to 1 Tbit/s would be possible with a 3 cm long wavelength converter.

Coherent beam combining (CBC) is one of the methods for power scaling of high power lasers [1]. In the scientific literatures a low power narrow linewidth source is used for CBC, however in this report, a low cost diode laser source (spectral bandwidth

A phase engineered all-optical wavelength converter for ultra-short pulses (down to 140 fs) in a Ti-diffused, periodically poled lithium niobate (Ti:PPLN) waveguide is proposed. The phase engineering, due to the phase conjugation between signal and idler (converted signal) pulses which takes place in the cascaded second harmonic generation and difference frequency generation (cSHG/DFG) based wavelength conversion, already leads to shorter idler pulses. The proposed device consists of an unpoled (passive) waveguide section beside of the PPLN waveguide section in order to compensate pulse broadening and phase distortion of the idler pulses induced by the wavelength conversion (in the PPLN section). For example numerical analysis shows that a 140 fs input signal pulse is only broadened by 1.6% in a device with a combination of 20 mm and 6 mm long periodically poled and unpoled waveguide sections. Thus, cSHG/DFG based wavelength converters of a bandwidth of several Tbits/s can be designed.

Today, Smart phones with different operating systems play an important role in people's lives. In the age of communication, the use of these devices and using their useful applications is inevitable that becomes part of the main requirements in order to enhance the quality and comfort of life in society. Smart phone soft wares are applications, each of them can enable the user to various activities and personalized depending on his needs do. One of the most important applications is banking applications that have managed make a big change in modern electronic banking. These applications or new capabilities makes saving resources, time and cost of users. Unfortunately, due to lack of proper usability, the use of these applications is very low. Usability is one of the factors affecting in construction and development of software that leads to improved efficiency and quality of them. This paper reports on the implementation and development of a banking application, based on the proposed new usability obtained from the study and analysis of usability previous models has focused.

For convenient measurements in many applications, wavelength alterations should be translated to the change in intensity of the output light. In this Letter, a novel method based on monitoring the Moiré pattern using a simple dispersive planoconvex lens (chromatic aberration) for wavelength alteration measurement is reported. Due to the chromatic aberration of the lens, different wavelengths have different magnifications. This causes rotation in the Moiré pattern when the wavelength of the incident light is changed. It is shown that by measuring this rotation it is possible to measure the wavelength alterations. The experimental results obtained from four different laser sources with 450, 532, 630, and 632.8 nm wavelengths show total Moiré pattern rotation of about 31.5°, which shows good theory-experimental agreement. This method is simple and more reliable, and might find wide applications in spectrometry, optical sensors, and dispersion measurements.

In this paper we present a novel method to reliably strip the unwanted cladding light in high-power fiber lasers. Soft metals are utilized to fabricate a high-power cladding light stripper (CLS). The capability of indium (In), aluminum (Al), tin (Sn), and gold (Au) in extracting unwanted cladding light is examined. The experiments show that these metals have the right features for stripping the unwanted light out of the cladding. We also find that the metal-cladding contact area is of great importance because it determines the attenuation and the thermal load on the CLS. These metals are examined in different forms to optimize the contact area to have the highest possible attenuation and avoid localized heating. The results show that sheets of indium are very effective in stripping unwanted cladding light.

Although doctors are increasingly interested in electronic systems of registering medical record, but in practice such systems are used less. Mobile devices provide a new way for accessing users to data of health cares and services in a secure environment and user-selection. Mobile health cares' systems (M-health) are considered as a solution to reduce health care costs without reducing the quality of patient care. In this paper we are going to develop a common architecture for mobile health cares' services using NFC in order to facilitate providing health cares to people anywhere and anytime using the mobile devices that are connected to wireless communication technology, to be able to provide required services by a secure and available structure for patient' information in hospitals and health centers and treatment, especially intensive care units, emergency or patients needed home care. Also it can be avoided from forgery and misuse of physicians' stamp in current versions with this system by preparing electronic version using NFC technology.