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Categorizing Received Email to Improve Delivery
No full textThis paper suggests the use of categorization for received email messages into groups. Each group will contain all the emails that require the same action. Therefore, instead of replying each email alone, all the emails in the same group will be bundled, and one reply template will be used to respond to all emails in one shot. As a result, the process of the email within one group will be converted from “many replies to many senders” into “one-reply to many senders” (or Reply (M->M) into Reply (1->M)). This paper suggests that the email handlers should give the user the capability to bundle a set of emails into one group using categorization, and then responding to all the emails in the same group by one reply. The paper identifies different shapes of relationships. The paper describes the prototype for each relationship with the advantages of each one, and then it provides the functionality to convert the relationship from one form to another in order to save the time of the emailer. The use of categorization was implemented on a conference event. The collected results showed that the overall performance was improved
استخدام مجموعة المصنّفات لمصادقة التوقيع الديناميكي
No full textمع التطور والتقدم السريع في التكنولوجيا أصبحت تقريباً كل التعاملات رقمية، كما أصبحت الحاجة لأمن المعلومات ملحّة جداً. وعلاوة على ذلك فإن الأجهزة المتطورة التي تقوم بالتقاط التوقيع الديناميكي للشخص متاحة حالياً. ولذلك فإن الإعتماد على التوقيع الديناميكي لتحديد الهوية في الأنظمة الآمنة أصبح مسألة حاسمة. نهدف في هذه الورقة إلى بحث موضوع تحديد هوية الشخص سواءً بواسطة التحقق من توقيعه الديناميكي أوالتعرف على هذا التوقيع وذلك باستخدام مجموعة المصنّفات، حيث قمنا باستخدام مجموعة مصنفات والمكونة من شبكات عصبية احتمالية معتمدة على تحليل فيشر. وفي هذا البحث نقوم بدراسة مسألتين هامتين، الأولى هي كيف يتم بناء مجموعة المصنفات، وتتمحور الثانية حول كيفية اتخاذ القرار وذلك استناداً للتوقعات التي يتم الحصول عليها من كل من هذه المصنّفات. تم اختبار مجموعة المصنّفات باستخدام مجموعة البيانات إس في سي الخاصة بالتوقيعات الديناميكية وتم الحصول على نتائج جيدة جداً ومشجعة تعكس قدرة مجموعة المصنفات على حل المشكلة المتعلقة بمصادقة التوقيع الديناميك
Performance evaluation of Multidimensional Parabolic Type Problems on distributed computing systems.
No full textParabolic Partial Differential Equations (PDE) are well suited to multiprocessor implementation. However, the performance of a parallel program can be damaged by the mismatches between the parallelism available in the application and that available in the architecture. Communication cost, memory requirements, execution time, implementation cost, and others from a problem specific function should be considered to estimate a parallel program. In this paper, we present an optimizing technique called granularity analysis to evaluate the parallel algorithms particularly IADE and AGE families without degrading the performances. The resultant granularity analysis scheme is appropriate for developing adaptive parallelism of declarative programming languages on multiprocessors. The results recommend that the proposed method can be used for performance estimation of parallel programs
A Quantum-Inspired Differential Evolution Algorithm for Solving the N-Queens Problem
No full textIn this paper, a quantum-inspired differential evolution algorithm for solving the N-queens problem is presented. The N-queens problem aims at placing N queens on an NxN chessboard, in such a way that no queen could capture any of the others. The proposed algorithm is a novel hybridization between differential evolution algorithms and quantum computing principles. Accordingly, differential evolution algorithms have been enhanced by the adoption of some quantum concepts such as quantum bits and states superposition. The use of the quantum interference has allowed this hybrid approach to have a remarkable efficiency and good result
Inflammatory Response in Multiple Organs in a Mouse Model of Acute Alcohol Intoxication and Burn Injury
No full textThis study characterized the inflammatory response after burn injury and determined whether ethanol (EtOH) intoxication at the time of burn injury influences this response. To accomplish this, male mice were gavaged with EtOH (2.9 g/kg) 4 hours before 12 to 15% TBSA sham or burn injury. Mice were killed on day 1 after injury; blood, small intestine, lung, and liver were collected to measure interleukin (IL)-6, IL-10, IL-18, and MCP-1 levels. In addition, neutrophil infiltration, myeloperoxidase activity, and edema formation were also measured in the small intestine, lung, and liver. There was no difference in the inflammatory markers in the small intestine, lung, and liver in mice receiving either sham or burn injury alone except IL-6 that was increased in all four tissue compartments after burn injury alone. However, when compared with EtOH or burn injury alone, EtOH combined with burn injury resulted in a significant increase in cytokines, neutrophil infiltration, myeloperoxidase activity, and edema in the small intestine, liver, and lung tissue. Furthermore, a significant increase in IL-6 and MCP-1 was observed in circulation after EtOH intoxication and burn injury compared with either EtOH intoxication or burn injury alone; no other cytokines were detected in circulation. These findings suggest that acute EtOH intoxication exacerbates the inflammatory response after burn injury
Positive contrast with therapeutic iron nanoparticles at 4.7 T
No full textOBJECT: The purpose of the study was to show the feasibility of a positive contrast technique GRadient echo Acquisition for Superparamagnetic particles with Positive contrast (GRASP), for a specific type of magnetic particles, designed for tumor treatment under MRI monitoring. MATERIALS AND METHODS: A simulation study was performed to estimate field inhomogeneity intensities induced by increasing concentrations of particles at different static fields. The GRASP sequence was setup on a 4.7 T Bruker system during an in vitro study. Six mice, included in the in vivo study received particles in the left calf muscle and contrast enhancement values, were measured over three time points, for both negative and positive contrast images. RESULTS: Comparing values obtained by simulation at 1.5, 3, and 4.7 T, the strongest susceptibility effect was obtained at 4.7 T. Based on simulation and in vitro data, gradient settings were chosen for in vivo imaging. GRASP resulted in bright regions at and around the injection site, and higher enhancement values, compared to standard GRE imaging. Both contrasts were useful for longitudinal follow-up, with a faster decay over time for GRASP. CONCLUSION: The magnetic nanoparticles for drug delivery can be detected using positive contrast. Combining imaging sequences, i.e., negative contrast and susceptibility methods, increased imaging specificity of large magnetic particles and enabled their follow-up for theranostic applications
Wireless propagation channel modeling for optimized handoff algorithms in wireless LANs
No full textWe present, firstly, a simple time-series analysis techniques which cover the basic concepts and mechanisms driving the wireless propagation channel. We also use a generated series for simulation study of Handoff performance showing the impact of multipath phenomena. The extraction of the overage signal (slow variations) from the fast variations was done. This overall signal has been used to reduce significantly the number of unnecessary handoffs.
To better minimize the power consumption, that the wireless propagation channel requires, our proposed approach was verified at the algorithmic level using Matlab 7.6 tool, described in Very-high-speed integrated circuit Hardware Description Language (VHDL) at the register transfer level (RTL) and it has been synthesized using ISE 10.1 of the field-programmable gate array (FPGA) environment xilinx virtex V that evaluates the circuit in terms of speed, area and power consumption.
The wireless propagation channel modeling is based on the linear model concept of the received power from the access point (AP). This concept has a crucial role in modeling new decentralized handoff based on the ratio of expected and current signal slopes already provided by the linear model. Hence, a fuzzy-based solution is developed and a comparison with the analytical solution results is established
Evaluating the Effectiveness of VSM model and Topic segmentation in Retrieving Arabic Documents
No full textAbstract—Information Retrieval is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language. The goal of this work has been to investigate how well a high-level task like information retrieval can be carried out on Arabic text. We have also investigated the effect that others task like topic segmentation can have on information retrieval performance for such a highly inflectional language like Arabic
A Multi Biometric System Using Combined Vein and Fingerprint Identification
No full textIn this paper, a compact system that consists of a CMOS fingerprint sensor (FPC1011F1) is used with the FPC2020 power efficient fingerprint processor ; which acts as a biometric sub-system with a direct interface to the fingerprint sensor as well as to an external PC for storing finger print templates. Added to the fingerprint system is a vein image extraction system; it consists of a set of
LEDs (light emitting diodes) that generates near infrared light that penetrates the body Tissue. An image of the veins pattern is revealed as the near infrared light is reflected in the haemoglobin in the blood. A CCD (charge coupled device) camera uses a small, rectangular piece of silicon to receive incoming light. The CCD captures the image of the vein pattern through this reflected light. The Image is processed through an algorithm to constructs a finger vein pattern from the camera image. This pattern is then digitized and saved as a template for biometric authentication. The integrated system will extract two biometrics identifiers; namely, vein and fingerprint. Multibiometric fusion stages are pointed out; and future research issues are suggested
Cancelable PalmCode Generated from Randomized Gabor Filters for Palmprint Template Protection
No full textSecurity and protection of biometric template has been the bottleneck of its applications due to permanent appearance of biometric features. Coding approaches for palmprint recognition have much superiority over other approaches. Unfortunately, most of the existing biometric protection schemes are performed only in subspace approaches. Cancelable PalmCode is a novel scheme for palmprint template protection based on texture features. The texture features of cancelable PalmCode were generated from Gabor filters whose parameters are randomized by the user-specific tokenised pseudo-random number (PRN). The different effects of various randomized parameters were studied and discussed in this paper. Three among the seven possible combinations of parameter randomization were proved to be able to avoid the performance degradation caused by PRN and selected as the feasible schemes for cancelable PalmCode. Cancelable PalmCode can be revoked and reissued conveniently and the transform is non-invertible. The experimental results on PolyU palmprint database show that both PRN and biometrics play equally significant roles in cancelable PalmCode and it can be easily generalized to other palmprint texture codes