Toric Geometry and String Theory Descriptions of Qudit Systems

In this paper, we propose a new way to approach qudit systems using toric geometry and related topics including the local mirror symmetry used in the string theory compactification. We refer to such systems as (n,d) quantum systems where $n$ and $d$ denote the number of the qudits and the basis states respectively. Concretely, we first relate the (n,d) quantum systems to the holomorphic sections of line bundles on n dimensional projective spaces CP^{n} with degree n(d-1). These sections are in one-to-one correspondence with d^n integral points on a n-dimensional simplex. Then, we explore the local mirror map in the toric geometry language to establish a linkage between the (n,d) quantum systems and type II D-branes placed at singularities of local Calabi-Yau manifolds. (1,d) and (2,d) are analyzed in some details and are found to be related to the mirror of the ALE space with the A_{d-1} singularity and a generalized conifold respectively.Comment: 12 pages,latex, 2 figures. Accepted for publication in Journal of Geometry and Physics, JPS(2015

The impact of internal supply chain integration on perceived product quality: A case study of Moulin de Laghouat Spa

تبحث هذه الدراسة العلاقة بين التكامل الداخلي لسلسلة الامداد و الجودة المدركة للمنتج في شركة  مطاحن الاغواط  بالجزائر. حيث يعتبر كل من التنسيق، التعاون و المشاركة ابعاد للتكامل الداخلي.  تحليل مسار البيانات تم باستخدام طريقة نمذجة المعادلات الهيكلية باستخدام المربعات الصغرى الجزئية وذلك بالاعتماد على برنامج SmartPLS 3. و اسفر تحليل البيانات المجمعة بواسطة الاستبيان لعينة مكونة من ثلاثون عامل الى وجود تاثير للتكامل الداخلي لسلسلة الامداد و التنسيق على الجودة المدركة للمنتج. بينما كل من التعاون و المشاركة  لم يكن لهم اثر على الجودة المدركة للمنتج. بينت نتائج الدراسة انه يتوجب على مؤسسة مطاحن الاغواط اعتماد نظام معلومات فعال يعزز التنسيق، التعاون و المشاركة بين اقسامها و وظائفها،  و يكون ذلك من خلال تبني نظام لتخطيط موارد المؤسساتERP  للوصول الى سلسلة امداد داخلية متكاملة. This study examines the relationship between internal Supply chain integration (ISCI) and Perceived product quality (PPQ) in Moulin de Laghouat company. Inter-functional Coordination (CRD), cooperation (COP), and collaboration (CLB) are introduced as dimensions of the ISCI. In this research, A path model analysis was used to evaluate the model through partial least squares structural equation modeling (PLS-SEM). The analysis of collected data from thirty employees of Moulin de Laghouat company in Algeria was performed using SmartPLS 3. Findings indicate that ISCI and CRD had an impact on PPQ. Simultaneously, both COP and CLB as dimensions of (ISCI) have no significant effect on PPQ. Results show that Moulins de Laghouat should adopt an efficient information system by implementing an ERP system to help different departments coordinating their activities. Moreover, reach a higher level of cooperation and collaboration within ISCI.      &nbsp

Detection and Classification of Power Quality Disturbances Using LSTM

The detection and diagnosis of power quality (PQ) issues are critical topics in the electrical power system’s generation, transmission, and distribution. Nonlinear loads, power electronic converters, system malfunctions, and switching events are the most common causes of PQ issues. The main purpose of this work is to use an artificial intelligence (AI) technique based on automatic feature extraction to discover and identify PQ difficulties. The AI technique consists of a dedicated architecture of the Long Short-Term Memory (LSTM) network, which is a special type of Recurrent Neural Network (RNN)

Detection and Classification of Power Quality Disturbances Using LSTM

The detection and diagnosis of power quality (PQ) issues are critical topics in the electrical power system’s generation, transmission, and distribution. Nonlinear loads, power electronic converters, system malfunctions, and switching events are the most common causes of PQ issues. The main purpose of this work is to use an artificial intelligence (AI) technique based on automatic feature extraction to discover and identify PQ difficulties. The AI technique consists of a dedicated architecture of the Long Short-Term Memory (LSTM) network, which is a special type of Recurrent Neural Network (RNN)