GRank: a middleware search engine for ranking genes by relevance to given genes

Taha, Kamal; Homouz, Dirar; Muhairi, Hassan Al; Mahmoud, Zaid Al

doi:10.1186/1471-2105-14-251

Cited by 12 publications

(15 citation statements)

References 14 publications

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“…In addition to the above mentioned domains and by considering system services and operations, there are some other special-purpose applications which need various features of middleware domains to perform their task properly. For example WebCrawler [25] and GRank [26] are two search engines middleware that uses a combination of aforementioned domains capabilities.…”

Section: Communicationmentioning

confidence: 99%

Middleware technologies for cloud of things: a survey

Farahzadi

Shams

Rezazadeh

et al. 2018

Digital Communications and Networks

112

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The next wave of communication and applications rely on the new services provided by Internet of Things which is becoming an important aspect in human and machines future. The IoT services are a key solution for providing smart environments in homes, buildings and cities. In the era of a massive number of connected things and objects with a high grow rate, several challenges have been raised such as management, aggregation and storage for big produced data. In order to tackle some of these issues, cloud computing emerged to IoT as Cloud of Things (CoT) which provides virtually unlimited cloud services to enhance the large scale IoT platforms. There are several factors to be considered in design and implementation of a CoT platform. One of the most important and challenging problems is the heterogeneity of different objects. This problem can be addressed by deploying suitable "Middleware". Indeed, Middleware sits between things and applications that make a reliable platform for communication among things with different interfaces, operating systems, and architectures. The main aim of this paper is to study the middleware technologies for CoT. Toward this end, we first present the main features and characteristics of middlewares. Next we study different architecture styles and service domains. Then we presents several middlewares that are suitable for CoT based platforms and lastly a list of current challenges and issues in design of CoT based middlewares is discussed.

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Section: Communicationmentioning

confidence: 99%

Middleware technologies for cloud of things: a survey

Farahzadi

Shams

Rezazadeh

et al. 2018

Digital Communications and Networks

112

View full text Add to dashboard Cite

show abstract

“…We observe that a vertex v is important to a set S of vertices in a network, if S is existence dependent on v through the paths of the MST that connect v and S. That is, v is important to S, if the existence of S in the network is dependent on the existence of v. An existence dependency relation will be added between vertices u and v if, wherever v exists, it is as part of u; the presence of v implies the presence of u [20,23,24]. Thus, if the relationship between u and v represents existence-dependency, u and v are closely related.…”

Section: Identifying the Influential Members Of A Criminal Organizationmentioning

confidence: 99%

Using the Spanning Tree of a Criminal Network for Identifying Its Leaders

Taha

Yoo

2017

IEEE Trans.Inform.Forensic Secur.

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We introduce a forensic analysis system called ECLfinder that identifies the influential members of a criminal organization as well as the immediate leaders of a given list of lower-level criminals. Criminal investigators usually seek to identify the influential members of criminal organizations, because eliminating them is most likely to hinder and disrupt the operations of these organizations and put them out of business. First, ECLfinder constructs a network representing a criminal organization from either Mobile Communication Data associated with the organization or crime incident reports that include information about the organization. It then constructs a Minimum Spanning Tree (MST) of the network. It identifies the influential members of a criminal organization by determining the important vertices in the network representing the organization, using the concept of existence dependency. Each vertex v is assigned a score, which is the number of other vertices, whose existence in MST is dependent on v. Vertices are ranked based on their scores. Criminals represented by the top ranked vertices are considered the influential members of the criminal organization represented by the network. We evaluated the quality of ECLfinder by comparing it experimentally with three other systems. Results showed marked improvement.

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“…In network partitioning, a network is divided into positions based on the structural similarities among the vertices of the network [28]. Similar techniques have also been used in the area of bioinformatics [40,42].…”

Section: Ieee Transactions On Information Forensics and Securitymentioning

confidence: 99%

SIIMCO: A Forensic Investigation Tool for Identifying the Influential Members of a Criminal Organization

Taha

Yoo

2016

IEEE Trans.Inform.Forensic Secur.

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Abstract-Members of a criminal organization, who hold central positions in the organization, are usually targeted by criminal investigators for removal or surveillance. This is because they play key and influential roles by acting as commanders who issue instructions or serve as gatekeepers. Removing these central members (i.e., influential members) is most likely to disrupt the organization and put it out of business. Most often, criminal investigators are even more interested in knowing the portion of these influential members, who are the immediate leaders of lower-level criminals. These lower-level criminals are the ones who usually carry out the criminal works; therefore, they are easier to identify. The ultimate goal of investigators is to identify the immediate leaders of these lower-level criminals in order to disrupt future crimes. We propose in this paper a forensic analysis system called SIIMCO that can identify the influential members of a criminal organization. Given a list of lower-level criminals in a criminal organization, SIIMCO can also identify the immediate leaders of these criminals. SIIMCO first constructs a network representing a criminal organization from either Mobile Communication Data that belongs to the organization or from crime incident reports. It adopts the concept space approach to automatically construct a network from crime incident reports. In such a network, a vertex represents an individual criminal and a link represents the relationship between two criminals. SIIMCO employs formulas that quantify the degree of influence/importance of each vertex in the network relative to all other vertices. We present these formulas through a series of refinements. All the formulas incorporate novel-weighting schemes for the edges of networks. We evaluated the quality of SIIMCO by comparing it experimentally with two other systems. Results showed marked improvement.

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GRank: a middleware search engine for ranking genes by relevance to given genes

Cited by 12 publications

References 14 publications

Middleware technologies for cloud of things: a survey

Middleware technologies for cloud of things: a survey

Using the Spanning Tree of a Criminal Network for Identifying Its Leaders

SIIMCO: A Forensic Investigation Tool for Identifying the Influential Members of a Criminal Organization

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