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The Current State of ERP Systems in Banking Sector
Get PDFAbstract—Enterprise resource planning (ERP) systems integrate the organizations business functions allowing efficient information sharing across all business divisions. Through the information sharing is achieved not only better coordination but also faster and more efficient adjustment to the potential risks and business opportunities alike. This paper examines the particularities of ERP systems implementation and operation for the banking sector by considering a wide range of sources such as journal and conference papers, empirical studies and reports. Finally, through the thorough examination of the available literature, we draw conclusions about the effect by the implementation of ERP systems in the banking sector
Persian Mining Product (PMP) Is Future of Iranian Minerals Branding
Get PDFAbstract— This electronic document is browsing across history of Iranian minerals export to clarify the key factors which helped to achieve the success or loose the chance on the subject. Iran with great reserve of minerals which consisting of 68 types has a great potential to substitute minerals export income instead of oil. This is the same scenario that Kingdom of Saudi Arabia also is planning to do so.
To achieve this goal, need more attention and focus on mining activities such as exploration, extraction, production, processing of ore as well as export. During a last decade which Iran imposed under tremendous and hard European and United States sanctions, had less chance and hope to follow up this plan. But since beginning 2016 which the most of trading and business sanctions have been removed, Iran not only can equip its mines by brand new machinery and technology but may get much better interest from foreign mining companies and investors to do finance or invest as FDI (Foreign Direct Investment) in Iranian mines.
Iran needs by proper planning increase share of GDP for mining production from some existing figure below 1% to above 5% to rely less on oil income, which has already had a share of 23% in Iran’s GDP.
We believe to bypass this road need to create a professional brand for Iranian minerals. Hereby we are introducing for the first time a new abbreviation for branding of Iranian minerals named PMP (Persian Mining Product) as a solution for this purpose
Stock Market Volatility, Recurrence Interval and Memory Effect
Get PDFThe stock market volatility in 2015 has caused serious damage to investors and the market has also suffered severely and immensely. During the last year, large volatility and extreme events were increasingly frequent than before, which made great theoretical and practical significance to gain a deep understanding of extreme value statistics of the volatility. Extreme events also bring huge risk to financial market, therefore the risk prevention, estimation and prediction are of necessity.The research uses 1-min high-frequency datasets of Shanghai 50 Stock Index Futuresin 2015. The data comes from Tongdaxin Database. The paper is the first one to study Shanghai 50 Stock Index Futures and a relationship between recurrence interval and risk estimation has been constructed. We find the recurrence interval of stock volatility can be fitted with stretched exponential function and the recurrence interval decreases when the threshold decreases. Then we demonstrate the existence of short-term and long-term correlations in recurrence intervals. We further construct a hazard function and define a loss probability to evaluate risk and find a crossover point in the loss probability plot. The study would enable one to improve risk estimation andthere are some shortcomings and need to be perfect in the future
Hedonic Consumption Mediating the Relationship between Consumer Psycho-Demographic Characteristics and Consumer Adoption of Innovation
Get PDFAbstract--The study explores how consumers react differently when companies introduce new products. The study focus on the hedonic consumption as an approach for consumer behavior. It examines the demographic and psychographic characteristics that illustrate consumer hedonic consumption. The study employs VALS framework to understand consumer reaction and propensity to innovation and adopts Rogers' five steps framework (1) to clarify consumer adoption to innovation. The statistical sample consists of 420 UAE consumers drawn randomly from the market and universities and colleges. The results indicate that some demographic and psychographic characteristics have significant relationship with consumer hedonic consumption and new product adoption
Attitude of Indian Consumer towards Environmental Fair Consumption of Products
Get PDFAbstract- Available literature review suggested that perception and consciousness of consumers has been related to all the aspect of environmentally friendly consumption and existing construct for measurement usually misperceived social and ecological issues. The aim of present research is to study the social issues and fair labour conditions in trading and manufacturing process of India.It is important to understand the difference between liking of service or product due to it being less harmful and less damaging to the environment or due to its abiding with international labour standards and social justice. Objective of this study was also to propose a scale for Consciousness of Fair Consumption, Moral and other oriented reasoning (MR), Environmental concern (EC), Intention to buy Fair-Trade Products, Purchase of Fair Trade products which would be unidimensional in nature. Secondary objective of this study was to assess reliability, validity and construct model fit in consumer durable products. Researchers used descriptive research design by selecting 240 respondents from Indian consumer product industry through multi stage sampling methods. Structured questionnaire has been developed based on the literature review and filled by face to face personal interview methods through mall intercept method of data collection. The result explained that Consumer Fair Consumption scale is unidimentional, reliable and valid as a proposed scale for fair consumption.
 
A Simulation Analysis of Effectiveness Measurement for Unmanned Ground Vehicle
Get PDFIn general, Unmanned Ground Vehicle like robot is one of the most effective weapon system based on leading edge technology in the modern warfare. However, its efficiency is still a difficult question to answer. Moreover, since the future warfare is getting more network centric rather than platform centric, it is even more difficult and complex to estimate its operational effectiveness. Therefore it is challenging task to develop a methodology or approach to show how efficiency it is during a ground battle of the network centric warfare. One clear distinction of this paper from others is that we are considering communication error effects depending upon terrain condition near each platform. The terrain condition is defined based on a small cell and its altitude in each cell. In this paper, we propose a new simulation framework for how to measure the operational effectiveness of unmanned ground vehicle in a small unit combat scenario. The framework is processed with following three phases. At first, we consider all relational factors for input and output variables in communication network environment of all platforms. Secondly, build a simulation model and select a measure of effectiveness based on purpose of the system performance. Thirdly, execute a simulation model and produce MOE do the output analysis. We compared the difference among three cases based on terrain condition
Multi-Level Thresholding for Image Segmentation With Swarm Optimization Algorithms
Get PDFImage segmentation is an important problem for image processing. The image processing applications are generally affectedfromthe segmentation success. There is noany image segmentation method which gives good results for all sorts of images. That's why there are many approaches and methods forimage segmentationin the literature. And one of the most used is the thresholding technique. Thresholding techniques can be categorized into two topics: bi-level and multi-level thresholding. Bi-level thresholding technique has one threshold value which separates the image into two groups. However, multi-level thresholding technique uses n threshold values where n greater than one. In this paper, two swarm optimization algorithms (Particle Swarm Optimization, PSO and Cat Swarm Optimization, CSO) are applied on finding the optimum threshold values for the multi-level thresholding. In literature, there are some minimization or maximization functions to find the best threshold values for thresholding problem. Some of these methods are: Tsalli's Entropy, Kapur's Entropy, Renyi's Entropy, Otsu's Method (within class variance/between class variance), the Minimum Cross Entropy Thresholding (MCET) etc.In this work, Otsu's (within class variance) method, which is one of these popular functions,is used as the fitness function of algorithms.In the experiments, five real images are segmented by usingParticle Swarm Algorithm and Cat Swarm Optimization Algorithms. The performances of the swarm algorithms on multi-level thresholding problem arecompared with Peak Signal-to-Noise Ratio (PSNR) and fitness function (FS) values. As a result, the PSO yields better performance than CSO
A Simulation Model for Performance Improvement of Triage-Based Emergency Care
Get PDFAbstract— The paper presents a discrete event simulation model to evaluate the performance in an emergency department. Following evaluation of current state of emergency care, the study proposes establishing a general medicine clinic within or next to the emergency department such that patients with low emergency priorities can be directed to the clinic where they can see a non emergency physician. Results obtained from testing the proposed model illustrate performance advantage with respect to urgent classified cases ranging from 19.27% to 24.36% reduction in waiting time compared to it in the traditional emergency department system
Investigate Economical Decision System Framework to Support Gas Crisis - Case Study: UAE
Get PDFDecision Support Systems (DSS) are mainly computer based applications include essential component called Database to support rational Decision Making process by analyzing, determining and evaluating the available raw data, documentations, knowledge to reach rational alternative set of actions, identify and solve business problems, and present various economical business decisions. UAE has been determine more than ten years ago a clear strategy to reduce the dependency of their GDP on Oil products. The main aim of this paper is to analyze the UAE's oil independence strategy and to propose a Decision Support Framework (DSF) generalizing their excellent perspective for the other oil producer countries to determine the most appropriate economical alternative solution as a substitute for a Gas Crisis. In this article, one of the famous DSS is used; Group Decision Support system is the most suitable tool for the investigated problem to build an effective Decision Support to help the oil producer countries for the sack of their GDP's oil independency.The proposed DSF will help the users to achieve their main competitive advantage through effective acts in innovation. Its simulate the UAE strategy through the new technologies as well as modern techniques that used to create new things has never been made before and can be recognized as a unique product. This article introduced a DSF to support the oil producer countries to diversify their GDP resources and to reduce its oil dependency
An Efficient Parallel Algorithm for Latin Square Design: A Multi Core CPU Approach
Get PDFAbstract— The theory of Latin squares is very important tool in design theory. Like much of design theory, Latin squares have various applications in statistics, finite geometries and experimental design, to name a few. In this paper, we proposed an efficient parallel algorithm for Latin square design which have desirable properties for parallel array access. These squares provide conflict free access to various subsets of an n x n array using n memory modules. A transversal of such a square is a set of n entries such that no two entries share the same row, column or symbol. We present a general construction method for building parallel Latin square of order n2 for all n.
The proposed algorithm presents a quick parallel method to produce a Latin square design and a parallel conflict access of data in SIMD system. The simulation results of the proposed parallel algorithm for Latin square design were compared with the traditional sequential algorithm Latin square design in terms of speedup and efficiency. The results of parallel Latin Square design were very promising and showed a potential that this design could successfully be applied to the parallel routing problems for conflict free data access. At last, the results show that the parallel versions of former sequential algorithm with simple modifications achieve the super linear speedup up to 200 times for matrix size of 256.
Index Terms: Latin square, multi core processor, parallel processing, simulation, parallel memory system, skewing scheme, multistage interconnection network