Search Results - isPartOf:"Software"

Scaling Up Software Birthmarks Using Fuzzy Hashing

Tamada, Haruaki; Tsuzaki, Takehiro; Yamamoto, Teruaki; … - In: International Journal of Software Innovation (IJSI) 5 (2017) 3, pp. 89-102

To detect the software theft, software birthmarks have been proposed. Software birthmark systems extract software … birthmarks, which are native characteristics of software, from binary programs, and compare them by computing the similarity … comparison phase, so that it can be applied to detect software theft among many larger scale software products. From an …

Persistent link: https://www.econbiz.de/10012047797

Clustering Based on Two Layers for Abnormal Event Detection in Video Surveillance

Fendri, Emna; Ghrab, Najla Bouarada; Hammami, Mohamed - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 1-18

Abnormal event detection has attracted great research attention in video surveillance. In this paper, the authors presented a robust method of trajectories clustering for abnormal event detection. This method is based on two layers and benefits from two well-known clustering algorithms: the...

Persistent link: https://www.econbiz.de/10012047798

Machine Learning Classification to Effort Estimation for Embedded Software Development Projects

Iwata, Kazunori; Nakashima, Toyoshiro; Anan, Yoshiyuki; … - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 19-32

development. Estimating the effort requirements for new software projects is especially important. As outliers are harmful to the …. This paper presents classifications for embedded software development projects using an artificial neural network (ANN) and …

Persistent link: https://www.econbiz.de/10012047799

Enhanced Frequent Itemsets Based on Topic Modeling in Information Filtering

Wai, Than Than; Aung, Sint Sint - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 33-43

In order to generate user's information needs from a collection of documents, many term-based and pattern-based approaches have been used in Information Filtering. In these approaches, the documents in the collection are all about one topic. However, user's interests can be diverse and the...

Persistent link: https://www.econbiz.de/10012047800

A Novel Approach for Ontology-Based Dimensionality Reduction for Web Text Document Classification

Elhadad, Mohamed K.; Badran, Khaled M.; Salama, Gouda I. - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 44-58

Dimensionality reduction of feature vector size plays a vital role in enhancing the text processing capabilities; it aims in reducing the size of the feature vector used in the mining tasks (classification, clustering, etc.). This paper proposes an efficient approach to be used in reducing the...

Persistent link: https://www.econbiz.de/10012047801

An Evaluative Review and Research Challenges of the Simulation in Cloud Environment

Fakhfakh, Fairouz; Kacem, Hatem Hadj; Kacem, Ahmed Hadj - In: International Journal of Software Innovation (IJSI) 5 (2017) 4, pp. 59-73

The first obstacle to the realization of research on cloud computing is the development of an appropriate research platform. Although commercial clouds are realistic as platforms of research, they are not always practical due to the financial cost and time required by experiments. Also, it is...

Persistent link: https://www.econbiz.de/10012047802

Towards Advanced Quantum Cognitive Computation

Fiorini, Rodolfo A. - In: International Journal of Software Science and … 9 (2017) 1, pp. 1-19

Computational information conservation theory (CICT) can help us to develop competitive applications and even advanced quantum cognitive computational application and systems towards deep computational cognitive intelligence. CICT new awareness of a discrete HG (hyperbolic geometry) subspace...

Persistent link: https://www.econbiz.de/10012048035

Cognitive Visual Analytics of Multi-Dimensional Cloud System Monitoring Data

Baciu, George; Wang, Yungzhe; Li, Chenhui - In: International Journal of Software Science and … 9 (2017) 1, pp. 20-34

Hardware virtualization has enabled large scale computational service delivery models with high cost leverage and improved resource utilization on cloud computing platforms. This has completely changed the landscape of computing in the last decade. It has also enabled large–scale data...

Persistent link: https://www.econbiz.de/10012048036

User-Oriented Video Streaming Service Based on Passive Aggressive Learning

Oide, Makoto; Takahashi, Akiko; Abe, Toru; Suganuma, Takuo - In: International Journal of Software Science and … 9 (2017) 1, pp. 35-54

The authors propose a method to dynamically determine appropriate quality of service (QoS) required by users for video streaming services. In the proposed method, the video bit rate as the QoS parameter is determined based on the passive aggressive learning, which is an online learning algorithm...

Persistent link: https://www.econbiz.de/10012048037

An Artificial Intelligence-Based Vehicular System Simulator

Chan, Marvin T.; Chan, Jonathan T.; Chan, Christine; … - In: International Journal of Software Science and … 9 (2017) 1, pp. 55-68

This paper presents a vehicular system simulator, which enables the human player to race a car against three system-controlled cars in a three-dimensional road system. The objective of the vehicular system simulator is not to support defeating the opponent in a car race, but to provide the...

Persistent link: https://www.econbiz.de/10012048038