In recent years, by increasing CPU and I/O devices demands, running multiple tasks simultaneously becomes a crucial issue. This paper presents a new task scheduling algorithm for multi-CPU and multi-Hard Disk Drive (HDD) in soft Real-Time (RT) systems, which reduces the number of missed tasks. The aim of this paper is to execute more parallel tasks by considering an efficient trade-off between energy consumption and total execution time. For study purposes, we analyzed the proposed scheduling algorithm, named HCS (Hard disk drive and CPU Scheduling) in terms of the task set utilization, the total execution time, the average waiting time and the number of missed tasks from their deadlines. The results show that HCS algorithm improves the above mentioned criteria compared to the HCS_UE (Hard disk drive and CPU Scheduling _Unchanged Execution time) algorithm.

The abundance of information on the web makes it difficult for users to find items that meet their information need effectively. To deal with this issue, a large number of recommender systems based on different recommender approaches were developed which have been used successfully in a wide variety of domains such as e-commerce, e-learning, e-resources, and e-government among others. Moreover, in order for a recommender system to generate good quality of recommendations, it is essential for a researcher to find the most suitable evaluation metric which best matches a given recommender algorithm and a recommender's task. However, with the availability of several recommender tasks, recommender algorithms, and evaluation metrics, it is often difficult for a researcher to find their best combination. This paper aims to discuss various evaluation metrics in order to help researchers to select the most appropriate metric which matches a given task and an algorithm so as to provide good quality of recommendations.

In crowded cities, selection of the suitable location for fire stations within the town is a vital issue in terms of rapid response to fires and minimizing loss of life and property. For the selection of the suitable fire station location, at first it is necessary to divide the whole city into certain zones and the need for a fire station service should be questioned for each zone. In this study, based on existing fire stations service area, classification of fire station requirement by zones was carried out using machine learning classification algorithms. In order to estimate fire station requirement according to the zones, a classification study was conducted by using some data such as the travel time of the fire engines to zone from closed fire stations, population density of the zone, the mean number of main and assistant vehicles travelling to the zone from closed fire stations, and the fire station existence data in the zone. The purpose of this study was to determine the most successful classification algorithm for the classification of the fire station requirement of 808 zones determined by Izmir Metropolitan Municipality. As a result of the analysis of fire records between 2015 and 2017, it was found that for the classification of the zones, the most successful algorithm was Random Forest algorithm with 93.84% accuracy rate. Experimental evaluation of the study; according to the 5-minute access distance of the existing fire stations, the fire station requirements of the regions and the fire station needs of the regions covered by the machine learning algorithm classification results were found to be 85.43% similar.

The localization of sensor nodes in a Wireless Sensor Network (WSN) can be examined by the resultant network parameters of covered sensing area and superimposed area. The measurement of covered sensing area is out of the total surface area how much geographical area can be sensed by the placed sensors and superimpose area is out of the total coverage area how much area is sensed or covered by more than one sensor node. A Wireless Sensor Network can be claimed to be productive only if it produces a good degree of coverage area with respect to less superimposing area and with the use of minimum sensor count also a degree of connectivity. To ensure the performance it is important to place the sensor nodes in a Wireless Sensor Network in its appropriate location. The placement of sensor nodes in 3D Wireless Sensor Network deals with complex mathematical modeling and higher sensor count compared to 2D Wireless Sensor Network. In this paper computation of actual covered area and superimposing area are highlighted after designing a network with a particular node placement method for Hilly Surfaces.

One of the most attractive goals for the contemporary companies is to be called a Digital Firm. Achieving this goal means for the company, university, school, factory or hospital that it is one of the most modern and developed in the world. To achieve such an attractive goal, firms have to fulfill some requirements. In this research paper, author introduces many important ideas about the characteristics that the digital firm has to have to deserve to be called digital. Those characteristics are followed by some recommendations about IT-tools that the firm can use to comply with a specific characteristic. Moreover, author introduces some questions that have to be answered to judge correctly about the level of firm’s digitalization that will help evaluating the firm’s success in digitization. This research is unique because it draws attention of the developers of the contemporary Information Systems (IS) to some aspects that are usually not taken into consideration such as the best characteristics of the elements of the workplace that is appropriate for the use of IT tools to help the users make less mistakes and gives the use of original software the importance that it deserves. In addition, it is important for many researchers nowadays who care about studying the contemporary IS and their usage in the contemporary firms to have knowledge about the main elements of IS that take into consideration all aspects of the Hardware, Software, workplace conditions and laws.

Data transmission is one of the most important term used in our day to day activities in the fast-growing world. Li-Fi opens a new era to that. Li-Fi is known as Light Fidelity. Simply it transmits data by visible light. According to recent research Li-Fi has a range of approximately 10 meters. Also, it cannot pass through wall or any solid object. So, this research focuses mainly to increase the 10-meter range. For a regular sized room this range is enough. But if anyone wants to provide data inside a big hall or in any large room, it is not possible by only this range. He must provide more LED that is connected to the Li-Fi router. This research focuses to optimize the number of LED and to minimize the cost. To increase the range of LED two methods are proposed here. One of the method deals with the positioning of the LEDs and another method is to use concave mirror. Smarter way of positioning of light gives better coverage of light that increases the range of LED. As concave mirror gives real and increased mirror for a particular positioning of an object, which is proved both theoretically and mathematically.