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The global data footprint doubles every few years. Organizations struggle to gain meaningful insights from the rapidly growing volumes of data to use this ever-increasing data. Organizations need to manage capacity placement and data governance requirements with speed and flexibility, and minimal costs to reduce capital expenditure. One of the limitations is that traditional storage still has a customer’s need to spend on capital expenditure. The customer needs to pay more every year for maintenance. Many companies consider moving internal data out of their data centers or migrating their data into the cloud. And also, this cloud technology can make the customer no need to worry about the scalability of their resource. Furthermore, the customer only needs to pay for what the customer use on the cloud. Unfortunately, until now, a user does not have many options to deploy object storage solutions across on-premise data centers and the cloud with high–performance capabilities. Storage Gateway is a hybrid cloud storage service that can give users access from their on-premises to virtually cloud storage with unlimited scalability. This Storage Gateway can connect between cloud storage and on-premises site seamlessly. This gateway system can interact with cloud storage services more simply while boosting performance and reducing cost. This paper aims to study the influence of the implementation and optimization of Storage Gateway as a heterogeneous integrator between premise and cloud storage. Also, the Network factor is using optimized by CDN Enabled to reduce upload latency between on-premise to Bucket. Tests are carried out using direct measurement methods to measures Throughput, Latency, and cost-efficiency.

Multiband high gain antennas are the essence of future wireless communication networks. This paper presents a detailed investigation and design of 1×4 linear and 2×2 planar array antennas. Arrays are designed using Rogers RT/duroid5880 (lossy) substrate. Thickness, dielectric constant and tangent loss of the substrate are 0.508 mm, 2.2 and 0.0013 respectively. Both arrays are multiband antennas and have resonance frequencies in K band, Ka band and V band. The maximum and minimum gains of 14.22dB and 9.9dB are achieved at 44.8 GHz and 67.8 GHz using linear array. The highest gain of planar antenna is 12.34dB at 29GHz and lowest gain of 8.5 dB is obtained at 38GHz. Radiation efficiency of both antennas are in the range of 90% at all the resonance frequencies. Results of both arrays show that array with linear setup have better gain than array of planar setup whereas bandwidth and return loss of planar array is better than linear array.

In this paper, we study the integration of Home Health Care (HHC) resource dimensioning and assignment problem with the patients group based health care activities. A mathematical model is developed considering the recruitment of health care staff, selection of HHC offices, identification of patients cluster centers and corresponding assignment issues among these entities. The proposed mathematical model not only determines the optimal number of health care workers, HHC offices and patient cluster centres based on their location but also performs the assignment tasks. The model is solved with the CPLEX and behaviour of the model is explored with respect to different scenarios. The results indicate that the model successfully tackles the considered issues, whereas, scenarios based solutions provide an in depth insight about the operational improvement considering specific criteria in the objective function.

This study deals with the corrosion tests for hot dip galvanizing steel and steel coated by zinc powder used with ethyl silicate co-polymer as a binder. Weight lose method was performed for both type of steel. The results obtained revealed that the resistant of coated steel as same as the resistant of galvanizing steel. Some physical properties were evaluated for both type of steel. The results obtained from the study were applied in a prototype of oil storage tank and oil transportation pipe; from which it has been shown that the coated steel exhibit excellent a corrosion resistance and the coating can be applied easily after welding processes for storage tank and pipe lines.

This paper presents a mixed integer linear programming (MILP) model for the daily planning of home health care (HHC) services provided by the crew of HHC firms. The model takes into account the time window of patients, compatibility requirements, workload limits of staff and distance of patients. The quantitative values of these parameters along with the similarity or difference within the values of a certain parameter are very important to explain the solution of the MILP model. Therefore, we further investigated the relationship between the values of parameters and decisions made in the HHC problem. Our MILP model deals with the scheduling and routing issues along with patient's selection and waiting aspects. The MILP model is solved using the commercial software Ilog-CPLEX and its results are further used to find the association between the relative quantitative gap values linked to certain parameters and decisions obtained through solution of the MILP model. Logistic regression based receiver operating characteristic (ROC) curve approach is used to identify the threshold values for the decision outcome of waiting patients against the related parameters. Subsequent validation and performance evaluation suggest that the proposed thresholds are well defined and can play an important role in making strategies for the HHC system.

Testing is the most important effort consuming the step of software development life cycle. Mostly the testing begins in the last stages of development and schedule slippage is adjusted with little testing. In Rational Unified Process (RUP), testing is performed throughout during development process. Test is one of the discipline of Rational Unified Process (RUP) among its nine disciplines where testing is performed in all four phases of RUP. In Construction phase the component are tested separately and then move to Transition phase, where beta testing take place. Testing an individual object is a time consuming approach of Rational Unified Process. The concept of group testing is introduced as a sub-discipline of test discipline. In proposed approach a group of similar components are tested together in group form to minimize the testing time. All though testing is involved from very beginning in RUP in order to develop error free component. But still a mechanism to test individual component takes a lot of time. The proposed model saves testing time when accurate developed components are tested in group form

Recently, the Halal industry has a huge potential for market demand. The rising of Halal has made the consumers to think twice before using any product because it is proven that Halal product can offer good quality, cleanliness, hygienic, safety, authentic and nutritious. Halal has created awareness to the consumers and supplier to use or supply the good according to Halalan Thoyyibban principle. Many logistics companies in Malaysia have adapted Halal in their operation. However, the lack of employees, skills and experience become the major problem to operate Halal in their operations. There are not enough skills and experience workers who can handle the consignment according to the Halal procedure. Hence, training in the Halal logistics industry professional is crucial as the lack of professionalism in the transport and logistics process in the supply chain may cast doubts on the Halal status of a product. The purpose of this research is to present the relationship between the training needs in Halal logistics industry in Malaysia and investigates its relationship with demand, people and awareness. The data collection instruments used was a questionnaire which was administrated to a total sample of 162 respondents from the middle management level in the logistics companies who have the Halal certification by Jabatan Kemajuan Islam Malaysia (JAKIM) or Halal Industry Corporation (HDC). Sample selection was based on purposive sampling. The analysis involved statistical methods using Predictive Analytics Software (PASW) 18.0 such as reliability and validity test and multiple regressions. The result indicated that training needs in Halal logistics industry are related to demand, people and awareness which to explain the significant influence to the Halal logistics industry.

Globally, logistics is an important economic activity valued at about USD 320 billion a year and growing at an annual rate of 3 to 10 percent. Malaysia has recognized the industry as the main key towards enhancing Malaysia's progress on becoming a globally competitive fully developed nation. It was predicted that the logistics industry would grow at 8.6% during the year 2006 – 2020 plan period and contribute 12.1% to Growth Domestic Product (GDP) by 2020. Therefore, the development of the human capital or human resource for the logistics industry in Malaysia becomes important in confirming the nation's competitiveness. Accordingly, the aim of this study is to produce a feasible framework of human-resource development for the logistics industry in Malaysia.

Load balancing is one of the critical issues that must be considered in managing a grid computing environment. It is complicated due to the distributed and heterogeneous nature of the resources. An enhanced ant algorithm for load balancing in grid computing is proposed in this paper. The proposed algorithm will determine the best resource to be allocated to the jobs based on job characteristics and resource capacity, and at the same time to balance the entire resources. The proposed algorithm focuses on local pheromone trail update and trail limit. A grid resource table is used in this proposed technique to store all information about jobs, resources and pheromone value. The credibility of the proposed algorithm is compared with other approach and results produced showed that the algorithm can balance the load of the resources.

An enhanced ant colony optimization technique for jobs and resources scheduling in grid computing is proposed in this paper. The proposed technique combines the techniques from Ant Colony System and Max – Min Ant System and focused on local pheromone trail update and trail limit. The agent concept is also integrated in this proposed technique for the purpose of updating the grid resource table. This facilitates in scheduling jobs to available resources efficiently which will enable jobs to be processed in minimum time and also balance all the resource in grid system.

Scheduling jobs to resources in grid computing is complicated due to the distributed and heterogeneous nature of the resources. Stagnation in grid computing system may occur when all jobs require or are assigned to the same resources. This will lead to resources having high workload and stagnation may occur if computational times of the processed jobs are high. This paper proposed an enhanced ant colony optimization algorithm for jobs and resources scheduling in grid computing. The proposed ant colony algorithm for job scheduling in the grid environment combines the techniques from Ant Colony System and Max – Min Ant System. The algorithm focuses on local pheromone trail update and the trail limit values. A matrix is used to record the status of the available resources. The agent concept is also integrated in this algorithm for the purpose of updating the grid resource table. Experimental results obtained showed that this is a promising ant colony algorithm for job scheduling in grid environment.