Search

تناول الباحثان موضوعاً حيوياً في مجال الإدارة يخص أهل الإدارة في كافة المنظمات، وخصوصاً الخدمية منها، وهو إدارة الموارد البشرية ودورها في تطوير مستوى الخدمات الفندقية، وتأتي أهمية هذا البحث من أهمية المنظمات الفندقية كونها تعتبر مصدر دخل اقتصادي للدولة، وأيضاً تعتبر الفنادق الواجهة الأولى لأي بلد سياحي، وبالتالي نجاح السياحة يرتبط بنجاح الخدمات الفندقية. وقد تمثلت مشكلة البحث في قصور تفعيل دور إدارة الموارد البشرية في المؤسسات الفندقية محل الدراسة، مما أدى إلى تدني مستوى الخدمات المقدمة. وقامت الدراسة على مجموعه من الفرضيات أهمها: الفرضية الرئيسية: توجد علاقة ذات دلالة إحصائية بين إدارة الموارد البشرية وبين مستوى الخدمات المقدمة في المؤسسات الفندقية. ومنها تم اشتقاق فرضيتين فرعيتين: 1- توجد علاقة بين تطبيق إدارة الموارد البشرية لوظائفها ومهامها والخدمات الفندقية. 2 ـ توجد علاقة بين التخطيط والتدريب للموارد البشرية والخدمات الفندقية. The paper studies the human resource management and its role in thedevelopment of the level of hotel services, the problem was the activationof the role of HR planning and training in hotels, there is a statisticallysignificant relationship between HR management and the level of servicesprovided in hotels as a hypothesis, The objective of the study is to highlightthe role of HR management in the development of hotel services. Afterexamination of a sample of the 02 hotels staff. The result is that thedevelopment of hotel services is related to the interest in HR planning andtraining.

Nowadays, a wide set of systems and application, especially in high performance computing, depends on distributed environments to process and analyses huge amounts of data. As we know, the amount of data increases enormously, and the goal to provide and develop efficient, scalable and reliable storage solutions has become one of the major issue for scientific computing. The storage solution used by big data systems is Distributed File Systems (DFSs), where DFS is used to build a hierarchical and unified view of multiple file servers and shares on the network. In this paper we will offer Hadoop Distributed File System (HDFS) as DFS in big data systems and we will present an Event-B as formal method that can be used in modeling, where Event-B is a mature formal method which has been widely used in a number of industry projects in a number of domains, such as automotive, transportation, space, business information, medical device and so on, And will propose using the Rodin as modeling tool for Event-B, which integrates modeling and proving as well as the Rodin platform is open source, so it supports a large number of plug-in tools.

Reactive Powder Concrete (RPC) is a type of ultra-high performance concrete, this dense composite material generally characterized by high cement content, high durability, low porosity, low water/cement ratio and in most cases contains steel fibers as new types of concrete appears, further investigation for their mechanical properties are needed. This work aims to give a better understanding of RPC behavior by deriving formulas to calculate the modulus of elasticity and the splitting tensile strength in relation with compressive strength and steel fibers content. This study is based on data obtained from the experimental investigation done in this work and from others pervious works. The parametric study is based mainly on the silica fume content which is used in four different ratios (12 %, 15 %, 20 % and 25 %), the use of micro steel fibers 15 mm in length, 0.2 mm in diameter and aspect ratio of 75 added in ratios of (0 %, 1 %, 1.5 % and 2 %), and water/cement in ratios of (16 %, 18 %, 20 % and 22 %), respectively. The proposed equations show a better behavior in comparison to some available equations that were used in the estimation of modulus of elasticity and splitting tensile strength of reactive powder concrete, the coefficient of variation for the proposed equations (COV) decrease to 10.677% and 10.455% respectively.

Nowadays, we are living in the midst of a data explosion and seeing a massive growth in databases so with the wide availability of huge amounts of data; necessarily we are become in need for turning this data into useful information and knowledge, where Data mining uncovers interesting patterns and relationships hidden in a large volume of raw data and big data is a new term used to identify the datasets that are of large size and have grater complexity. The knowledge gained from data can be used for applications such as market analysis, customer retention and production control. Data mining is a massive computing task that deals with huge amount of stored data in a centralized or distributed system to extract useful information or knowledge. In this paper, we will discuss Distributed Data Mining systems, approaches, Techniques and algorithms to deal with distributed data to discover knowledge from distributed data in an effective and efficient way.

The experimental results for service load of sixteen simply supported two way reinforced concrete slabs under the action of concentrated patch load were determined based on the amount of permissible deflections and the crack widths.All the slabs had the same overall dimensions and flexural steel reinforcement. Five types of strengthening were adopted. The first and second methods include applying either near surface mounted (NSM) or near reinforcement mounted (NRM) ferrocement layers. While the third method includes applying a concrete layer reinforced with welded wire fabric mesh of various diameters. The fourth and fifth methods include fixing CFRP rods and laminates, respectively, on the bottom surface of slabs. Strengthening techniques were applied on the bottom surface of fifteen slab specimens. In addition, a control slab specimen without any strengthening was used for the purpose of comparison. The calculated results for ultimate loads based on serviceability requirements (deflection and crack width according to both ACI and BS formulae) were lower than the experimental results.