Ahmet Arif Aydin

Inonu University · Department of Computer Science

Sorting and parallelism are widely studied subjects and their combination is a challenging topic of importance in many scientific fields. Efficient sorting is important because of reduced time and energy consumption; implementation of efficient parallel sorting algorithms and utilizing multicore environment’s power is the main focus of this article...

In today’s world of pervasive computing, it is straightforward for organizations to generate large amounts of data in support of a variety of business needs. For this reason, it is important to build tools that allow analysts to manage and investigate these data sets quickly and efficiently. One feature needed by these tools is the ability to sort...

Crisis informatics investigates how society's pervasive access to technology is transforming how it responds to mass emergency events. To study this transformation, researchers require access to large sets of data that because of their volume and heterogeneous nature are difficult to collect and analyze. To address this concern, we have designed an...

Web-based data analysis environments are powerful platforms for exploring large data sets. To ensure that these environments meet the needs of analysts, a human-centered perspective is needed. Interfaces to these platforms should provide flexible search, support user-generated content, and enable collaboration. We report on our efforts to design an...

Calculating the energy consumption of electric vehicles (EVs) is crucial to optimize efficiency and driving range, taking into account the outdoor temperature. Research shows that low temperatures significantly increase motor and battery energy consumption while inhibiting regenerative energy recovery, with optimum efficiency achieved at around 20-...

The two different motion behaviors of seahorses in nature served as inspiration for the seahorse optimization (SHO) method, which is a new metaheuristic swarm intelligence-based approach to solving fundamental engineering problems. In this study, the propo rtion al-in tegra l-der ivati ve (PID) parameters for the simplified speed control of the man...

In this era of big data, the streaming, storage, and analysis of large amounts of data present a variety of challenges. Several challenges must be addressed by designers of data-intensive systems in order to retrieve useful information. Collecting, storing, and analyzing data requires a collection and analytics platform comprised of an appropriate...

Relation graphs provide useful tools for structural and relational analyses of highly complex multi-component systems. Probabilistic relation graph models can represent relations between system components by their probabilistic links. These graph types have been widely used for graphical representation of Markov models and bigram probabilities. Thi...

In the era of big data, data has never been more important because it contains hidden insights. Additionally, it is necessary and challenging to extract usable information from enormous volumes of data. When attempting to perform data processing and analytics in a variety of domains, developers of data-intensive systems have consequently met severa...

Electric vehicles (EVs) have positive impacts on reducing oil dependence and exhaust emissions. However, the range problem of EVs is a factor that raises concerns for individual users and bus operators. For this reason, studies on increasing the range of the electric buses in public transportation is extremely important to ensure optimum operation....

Data is one of the most valuable assets in the digital era because it may conceal hidden valuable insights. Diverse organizations in diverse domains overcome the challenges of the big data value chain by employing a wide range of technologies to meet their needs and achieve a variety of goals to support their decision-making. Due to the significanc...

Electric transportation systems, which have become a necessity due to climate change and sustainability, are increasing their popularity in urban transportation. With the spread of electrification activities, transportation systems are gradually being converted to electrified systems. However, in the urban integration of electric transportation sys...

In the digital era, data is one of the most important assets since it conceals valuable information. Developers of data-intensive systems have new challenges at each level of streaming, storing, and processing large quantities of data in a variety of forms and speeds. Obtaining useful information at the proper time and place is also crucial. Since...

In linguistics, probabilistic relation between co-occurrent words can provide useful interpretation of knowledge conveyed in a text. Connectivity patterns of vectorized representation of lexemes can be identified by using bigram models of word sequences. Similarity assessment of these patterns is performed by applying cosine similarity and mean squ...

This dataset contains information about journals in the realm of Engineering, Computing & Technology available on the Web of Science. Currently, 1655 journals are indexed in this field. The properties are as follows: - Journal Name - Publisher - ISSN / eISSN - Web of Science Core Collection - Additional Web of Science Indexes - Journal Website -...

With widespread of internet and communication technologies, various smart devices have become reachable and controllable regardless of their geographic locations. The Internet of Things (IoT) technology enables communication of smart devices that can connect through the internet, and ranges from smart homes to smart cities. The IoT has been widely...

We live in a world of big data; organisations collect, store, and analyse large volumes of data for various purposes. The five V's of big data introduce new challenges for developers to handle when performing data processing and analysis. Indeed, data modelling is one of the most challenging and critical aspects of big data because it determines ho...

Developing software systems to meet user-demanded functionality is critical. Achieving the design goals by providing the needed functionality is a necessary task, and it is about figuring out a proper set of quality attributes and implementing each one by reflecting a complete set of quality attributes. This study presents popular quality attribute...

Nowadays, when the Internet, software and hardware technologies develop rapidly, we are in a digital era where a wide range of resources generate data in different formats and 7/24. It is essential for organizations to quickly process data in near-real time and store it in a scalable form, especially without loss of data. In addition, the importanc...

Web-based data analysis environments are powerful platforms for exploring large data sets. To ensure that these environments meet the needs of analysts, a human-centered design perspective is needed. Interfaces to these platforms should provide flexible search, support user-generated content, and enable collaboration. We report on our efforts to de...

In today’s digital world, we have been exposed by tremendous amounts of data generated by numerous sources and the developers of data intensive systems are confronted with the challenges of collecting, analyzing and storing large amounts of data. Dealing with those challenges and designing software systems provides demanded set of quality attribute...

Real-time data collection and analytics is a desirable but challenging feature to provide in data-intensive software systems. To provide highly concurrent and efficient real-time analytics on streaming data at interactive speeds requires a well-designed software architecture that makes use of a carefully selected set of software frameworks. In this...

Everyday, enormous amounts of data are generated by a wide variety of computational systems. This data needs to be collected, stored, and analyzed to generate insights and information useful to the organizations performing this work. Typical workflows include consumer behavior interpretation, product recommendations, predicting future trends, and e...

This study is about the importance of sorting and parallelism in numerous scientific fields. Sorting is one of the most studied problems in the Computer Science field. The goal of the studies is decreasing sorting time, which relates to saving power and money. Meanwhile, parallelism is also another vital field which appeals to Scientists in order t...

Sorting is one of the most studied problems in the Computer Science field. The goal of the studies is decreasing sorting time, which relates to saving power and money. Meanwhile, parallelism is also another vital field which appeals Scientists to run their operations remarkably fast. The main goal of the project is implementing new sequential ve...