Cost and Performance-Based Resource Selection Scheme for Asynchronous Replicated System in Utility-Based Computing Environment

A resource selection problem for asynchronous replicated systems in utility-based computing environment is addressed in this paper. The needs for a special attention on this problem lies on the fact that most of the existing replication scheme in this computing system whether implicitly support synchronous replication and/or only consider read-only job. The problem is undoubtedly complex to be solved as two main issues need to be concerned simultaneously, i.e. 1) the difficulty on predicting the performance of the resources in terms of job response time, and 2) an efficient mechanism must be employed in order to measure the trade-off between the performance and the monetary cost incurred on resources so that minimum cost is preserved while providing low job response time. Therefore, a simple yet efficient algorithm that deals with the complexity of resource selection problem in utility-based computing systems is proposed in this paper. The problem is formulated as a Multi Criteria Decision Making (MCDM) problem. The advantages of the algorithm are two-folds. On one fold, it hides the complexity of resource selection process without neglecting important components that affect job response time. The difficulty on estimating job response time is captured by representing them in terms of different QoS criteria levels at each resource. On the other fold, this representation further relaxed the complexity in measuring the trade-offs between the performance and the monetary cost incurred on resources. The experiments proved that our proposed resource selection scheme achieves an appealing result with good system performance and low monetary cost as compared to existing algorithms

A multi-agent intelligent decision making support system for home energy management in smart grid: A fuzzy TOPSIS approach

In the context of intelligent home energy management in smart grid, the occupants' consumption behavior has a direct effect on the demand and supply of the electrical energy market. Correspondingly, the policies of the utility providers affect consumption behavior so techniques and tools are required to analyse the occupants' preferences, habits and lifestyles in order to support and facilitate their decision-making regarding the curtailing of their energy consumption and costs. The uncertainty about householders' preferences increases the uncertainty of appliance prioritization and makes it difficult to determine the consistency of preferences in terms of energy consumption. In this complex system, the preferences and judgments of householders are represented by linguistic and vague patterns. This paper proposes a much better representation of this linguistics that can be developed and refined by using the evaluation methods of fuzzy set theory. The proposed approach will apply the fuzzy Technique for Order Preference by Similarity to Ideal Solution (fuzzy TOPSIS) for achieving preferences. Based on our detailed literature review of the multi-agent system approach in this field, it is expected that the proposal model will offer a robust tool for communication and decision-making between occupant agents and dynamic environmental variables. It is shown that the proposed fuzzy TOPSIS approach will enable and assist householders to maximize their participation in demand response programs

Mengenal pasti tahap motivasi dan kecenderungan keusahawanan di kalangan pelajar semester akhir Ijazah Sarjana Muda Kejuruteraan Mekanikal : satu tinjauan di KUiTTHO

Keusahawanan merupakan bidang yang mencabar dan tidak ramai yang mahu menceburi bidang ini tenitaraa lulusan bidang kejnriiteraan. Mereka ini mempunyai elemen keusahawanan nntuk menjadi usahawan yang beijaya. Oleh itu, timbul persoalan mengapakah pelajar-pelajar ini kurang berminat dengan bidang keusahawanan?. Bersesuaian dengan pennasalahan tersebut, kajian ini dijalankan bertujuan untnk meninjau tahap motivasi bagi memberikan pendedalian dan menarik kecenderungan pelajar kejuruteraan terliadap bidang keusahawanan. Objektif kajian ini berdasarkan kepada beberapa aspek iaitn taliap pengetahuan keusahawanan, motivasi, kecenderungan terhadap bidang keusahawanan dan keperluan subjek atau elemen keusahawanan dalam jumsan kejuruteraan. Kajian yang telah dijalankan adalah kajian deskriptif berbentuk tinjauan yang menggunakan soal selidik sebagai instrumen untuk mendapatkan data. Dengan menggimakan persampelan rawak mudah, seramai 99 orang pelajar semester akhir ijazah Saijana Muda Kejuruteraan Mekanikal telah dipilih sebagai responden kajian. Instrumen kajian adalah soal selidik dan data-data yang diperolehi telah dianalisis menggimakan perisian Statistical Package For Social Science versi 11.0 untuk mendapatkan nilai min dan peratus. Hasil kajian mendapati bahawa pelajar-pelajai' ini mempunyai kecenderungan terhadap bidang keusahawanan dengan skor min keseluruhan 3.573 dan taliap motivasi keusahawanan yang tinggi dengan skor min keseluaihan 3.965 tetapi kekurangan pengetahuan dalam bidang keusahawanan dengan skor min 3.16. Oleh itu. adalah perlu elemen-elemen keusahawanan diterapkan ke dalam kuriknlum kursus kejuaiteraan

Intelligent Decision Support System for Energy Management in Demand Response Programs and Residential and Industrial Sectors of the Smart Grid

This PhD thesis addresses the complexity of the energy efficiency control problem in residential and industrial customers of Smart electrical Grid, and examines the main factors that affect energy demand, and proposes an intelligent decision support system for applications of demand response. A multi criteria decision making algorithm is combined with a combinatorial optimization technique to assist energy managers to decide whether to participate in demand response programs or obtain energy from distributed energy resources

An analytical multicriteria model based on graph theory for reliability enhancement in distribution electrical networks

The electrical distribution network is a critical and complex system in terms of safety and reliability, because it is composed of different components (switches, reclosers, etc.). The improvement of its reliability is therefore one of the most important tasks through the good management of remote-controlled switches and reclosers in this network. This paper presents an analytical model based on graph theory to evaluate SAIDI and SAIFI indices based on the network architecture and the location of remote-controlled reclosers and switches. These indicators have been used to formalize a multi-objective mathematical model that respects the real operation constraints of equipments in smart grid. The applied model, in this article, was evaluated on an IEEE 13 bus network using the TOPSIS method to determine the optimal location of the switches and reclosers and to improve the overall reliability of the distribution network

Dried chili seeds separator machine

Chili is a fruit of Capsicum plants [1]. The fruit is known as vegetable which is cultivated as food. Also, it is known as ‘Lada’ (in East Coast) or chili. It produces small flowers that turn into fruits in every branch of leaves. Chili is rich in vitamin C, vitamin A and minerals such as iron, calcium, phosphorus, sodium and potassium. Moreover, this vegetable is said to be worth in terms of relieving pain associated with obesity. Besides, it is good for blood circulation and to sore throat infections. Additionally, Cayenne pepper contains substance that prevents blood clotting, from a disease called thrombosis [2]