Search Results - isPartOf:"software"

An Improved Dynamic Load-Balancing Model

Shang, Wenqian; Liu, Di; Zhu, Ligu; Feng, Dongyu - In: International Journal of Software Innovation (IJSI) 5 (2017) 3, pp. 33-48

With the rapid development of big data and the national big data strategy is put forward, the Web server cluster facing more complex and severe challenges. The traditional load balancing algorithm has obvious limitations. This paper proposes a dynamic load-balancing model based on the SSAWF...

Persistent link: https://www.econbiz.de/10012047793

A Video Recommendation Algorithm Based on Hyperlink-Graph Model

Shang, Wenqian; Shang, Songtao; Shi, Minyong; Feng, Shuchao - In: International Journal of Software Innovation (IJSI) 5 (2017) 3, pp. 49-63

The traditional graph-based personal recommendation algorithms mainly depend the user-item model to construct a bipartite graph. However, the traditional algorithms have low efficiency, because the matrix of the algorithms is sparse and it cost lots of time to compute the similarity between...

Persistent link: https://www.econbiz.de/10012047794

Line-of-Sight Detection Using Center of Gravity with Pixel Number Variation

Ishii, Naohiro; Niwa, Takahito; Torii, Ippei - In: International Journal of Software Innovation (IJSI) 5 (2017) 3, pp. 64-76

This study is developed from the application software, called “Eyetalk” which supports communication for handicapped …

Persistent link: https://www.econbiz.de/10012047795

The Library Big Data Research: Status and Directions

Liu, Dapeng; Xu, Shaochun; Du, Wencai; Wang, Chunning - In: International Journal of Software Innovation (IJSI) 5 (2017) 3, pp. 77-88

Libraries are widely used by government, universities, research institutes, and the public since they are storing and managing intellectual assets. The library information directly stored in libraries and about the people interaction with libraries can be transformed into accessible data which...

Persistent link: https://www.econbiz.de/10012047796

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