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Improving Risk Decisions for Internationally Contracting Projects Based on Behavioral Decision Theory
Issue:
Volume 2, Issue 2, June 2017
Pages:
42-49
Received:
9 January 2017
Accepted:
23 January 2017
Published:
20 February 2017
DOI:
10.11648/j.ajdmkd.20170202.11
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Abstract: Project risks have been proposed to be divided into four categories, namely, strategic risks, financial risks, operational risks and hazard risks for projects under the international competitive environment. Through systematical studies on internationally contracting project risk decisions based on Behavioral Decision Theory (BDT), key factors related to the behavior preferences of decision makers have been induced to expand and improve existing risk decision models, improving the efficiency and effectiveness of risk decision-making. Such systematical studies have resulted in some interesting findings which may be helpful for guiding the project management in strategic and operational planning. The first finding shows that, a reasonable guide has helped owners determine the appropriate contracting project management mode based on the specific context and requirements of the project in order to better improve the decision-making efficiency and effectiveness, and effectively control project risks by properly staffing the organizational behaviors. The second finding shows that, the risk quantification and proper financing decision making basis has been proposed on internationally contracting project costs estimate to meet the financing requirements of international banks, so as to help the contractor assist the owners for financing. The third finding shows that, the clearly defined methods for calculating the expected returns and risks on the risk decision on contracting project in properly packaging planning and procurement strategies have been systematically studied, so as to effectively instruct the contractors for the project subcontracting and its packaging planning and risk controlling.
Abstract: Project risks have been proposed to be divided into four categories, namely, strategic risks, financial risks, operational risks and hazard risks for projects under the international competitive environment. Through systematical studies on internationally contracting project risk decisions based on Behavioral Decision Theory (BDT), key factors rela...
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Survey and Comparison between Plagiarism Detection Tools
Issue:
Volume 2, Issue 2, June 2017
Pages:
50-53
Received:
9 January 2017
Accepted:
21 January 2017
Published:
21 February 2017
DOI:
10.11648/j.ajdmkd.20170202.12
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Abstract: With the spread of using Internet in teaching and learning, and in literature reviews, plagiarism has spread widely, where researchers take readymade researches and claim them to themselves. The action of "copy and paste" has become extensive in all fields, and the scientific research domain is no less than other spheres. This has prompted many international organizations to produce detection tools to spot plagiarism in scientific articles and research reports. Many computer programs exist to identify plagiarism in scientific papers and essays in order to establish scientific honesty and to upgrade the level of university researches. Some of these programs are free, while some are commercially available. This paper presents comparison between the most famous plagiarism detection programs. The comparison helps individuals as well as organizations to select the plagiarism detection program that is most relevant for their objectives.
Abstract: With the spread of using Internet in teaching and learning, and in literature reviews, plagiarism has spread widely, where researchers take readymade researches and claim them to themselves. The action of "copy and paste" has become extensive in all fields, and the scientific research domain is no less than other spheres. This has prompted many int...
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Efficient Anonymization Algorithms to Prevent Generalized Losses and Membership Disclosure in Microdata
Shivani Rohilla,
Manish Bhardwaj
Issue:
Volume 2, Issue 2, June 2017
Pages:
54-61
Received:
11 January 2017
Accepted:
25 January 2017
Published:
22 February 2017
DOI:
10.11648/j.ajdmkd.20170202.13
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Abstract: Nowadays, data and knowledge extracted by data mining techniques represent a key asset driving research, innovation, and policy-making activities. Many agencies and organizations have recognized the need of accelerating such trends and are therefore willing to release the data they collected to other parties, for purposes such as research and the formulation of public policies. However, the data publication processes are today still very difficult. Data often contains personally identifiable information and therefore releasing such data may result privacy breaches, this is the case for the examples of micro-data, e.g., census data and medical data. This thesis studies how we can publish and share micro data in privacy-preserving manner. This present a next ensive study of this problem along three dimensions: Designing a simple, intuitive, and robust privacy model, designing an effective anonymization technique that works on sparse and high-dimensional data and developing a methodology for evaluating privacy and utility tradeoffs. Here, we present a novel technique called slicing which partitions the data both horizontally and vertically. It preserves better data utility than generalization and is more effective than bucketization in terms of sensitive attribute.
Abstract: Nowadays, data and knowledge extracted by data mining techniques represent a key asset driving research, innovation, and policy-making activities. Many agencies and organizations have recognized the need of accelerating such trends and are therefore willing to release the data they collected to other parties, for purposes such as research and the f...
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Climate Smart Coffee (coffea arabica) Production
Abraham Alemu,
Ebisa Dufera
Issue:
Volume 2, Issue 2, June 2017
Pages:
62-68
Received:
4 December 2016
Accepted:
17 December 2016
Published:
24 February 2017
DOI:
10.11648/j.ajdmkd.20170202.14
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Abstract: Climate smart coffee production is indispensable measure to withstand climate change challenges; since, Climate change is a worst problem that the world is facing and will result incredible situation unless adaptation and mitigation measures are taken. The review was prepared to access the effect of climate change on coffee (coffea arabica) production and the possible adaptation and mitigation practices to withstand the challenges. The most frightening impact of climate change on coffee producing regions have been identified as being at a high risk and need to make extra efforts to prepare for the future thereby to maintain sustainable productive coffee production. It is possible to withstand the negative impacts of climate change by different adaptation and mitigation practices; such as, Shade use and reforestation, crop improvement, coffee-banana intercropping and other conservation practices was included. Comprehensive accomplishment of these practices helps to alleviate the climate change impacts. Some gaps was identified regarding with shade tree variety development and determining the appropriate shade level, identification of drought resistance genes from coffee arabica and coffee-enset intercropping.
Abstract: Climate smart coffee production is indispensable measure to withstand climate change challenges; since, Climate change is a worst problem that the world is facing and will result incredible situation unless adaptation and mitigation measures are taken. The review was prepared to access the effect of climate change on coffee (coffea arabica) product...
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Autonomic Internet of Things for Enforced Demand Management in Smart Grid
Qazi Mamoon Ashraf,
Chun Yeow Yeoh,
Ayesheh Ahrari Khalaf,
Ahmed Al-Haddad,
Mohamed Hadi Habaebi,
Wan Razli Wan Abdullah,
Mohamed Razman Yahya
Issue:
Volume 2, Issue 2, June 2017
Pages:
69-75
Received:
6 January 2017
Accepted:
8 February 2017
Published:
2 March 2017
DOI:
10.11648/j.ajdmkd.20170202.15
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Abstract: Recent research in the field of Internet of Things (IoT) has concentrated on the adaptation of the autonomic computing theory to make IoT self-sufficient and self-managing. The smart grid is one popular IoT application which can greatly benefit from the adoption of autonomy. In this paper, we propose the idea of enforced demand management (EDM) in smart grid as an implementation of the autonomic computing framework. Instead of allowing all consumer appliances to be active, the smart grid can actuate and control selected appliances remotely and autonomic-ally. This will allow the smart grid to be able to exercise some control over the load and consequently the demand it faces during peak hours of usage. Subsequently, the smart grid will be able to enhance efficiency and reliability. Furthermore, cellular network requirements for enabling such a method are also highlighted for the case of Long-Term-Evolution (LTE).
Abstract: Recent research in the field of Internet of Things (IoT) has concentrated on the adaptation of the autonomic computing theory to make IoT self-sufficient and self-managing. The smart grid is one popular IoT application which can greatly benefit from the adoption of autonomy. In this paper, we propose the idea of enforced demand management (EDM) in ...
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