scholarly journals Behavioural Evidence Analysis

2021 ◽  
Vol 13 (5) ◽  
pp. 20-42
Author(s):  
Barkha Shree ◽  
Parneeta Dhaliwal
Keyword(s):  
Digital Forensics ◽  
Real Life ◽  
Process Models ◽  
Criminal Investigation ◽  
Digital Evidence ◽  
New Approach ◽  
Proposed Model ◽  
Recent Developments ◽  
Evidence Analysis ◽  
Behavioural Evidence

Recent developments in digital forensics (DF) have emphasized that along with inspection of digital evidence, the study of behavioural clues based on behavioural evidence analysis (BEA) is vital for accurate and complete criminal investigation. This paper reviews the existing BEA approaches and process models and concludes the lack of standardisation in the BEA process. The research comprehends that existing BEA methodologies are restricted to specific characteristics of the forensic domain in question. To address these limitations, the paper proposes a standardised approach detailing the step-by-step implementation of BEA in the DF process. The proposed model presents a homogenous technique that can be practically applied to real-life cases. This standard BEA framework classifies digital evidence into categories to decipher associated offender characteristics. Unlike existing models, this new approach collects evidence from diverse sources and leaves no aspect unattended while probing criminal behavioural cues, thus facilitating its applicability across varied forensic domains.

Process Model for an Empiracally Grounded Reference Model Construction

2011 ◽  
pp. 77-97 ◽  
Author(s):  
Frederik Ahlemann ◽  
Heike Gastl
Keyword(s):  
Literature Review ◽  
Process Model ◽  
Epistemological Beliefs ◽  
Reference Model ◽  
Real Life ◽  
Process Models ◽  
Research Projects ◽  
Ongoing Research ◽  
Reference Models ◽  
Proposed Model

This chapter stresses the importance of integrating empirical evidence in the construction process of reference models. With reference to the authors’ underly-ing epistemological beliefs, requirements for an empirically grounded process model are derived. Based on a literature review of existing process models and experience gained from three research projects, an advanced process model is proposed in order to provide concrete instructions that show how these require-ments can be met. Real-life examples from completed and ongoing research pro-jects are continuously integrated so as to contribute to the practicability of the proposed model for the reader.

A Digital Forensics Method in Cloud Computing Environment

2014 ◽  
Vol 635-637 ◽  
pp. 1471-1475
Author(s):  
Hai Yan Chen
Keyword(s):  
Cloud Computing ◽  
Data Storage ◽  
Digital Forensics ◽  
Storage System ◽  
Digital Evidence ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Evidence Collection ◽  
Evidence Analysis ◽  
Data Storage System

In the context of the wide application of cloud computing technology, Internet crimes with the support of such technology will increase. In this article, the author proposed a holistic set of digital forensics method applicable in could computing environment from the point of the four stages of digital evidence collection, preservation, analysis and presentation. In evidence collection session, original resource of electric data collection was discussed. In evidence preservation session, electronic data storage system on Hadoop was designed. In evidence analysis session, two types of crime data were analyzed. In evidence presentation session, what the result should be shown were explained.

scholarly journals Behavioural Digital Forensics Model: Embedding Behavioural Evidence Analysis into the Investigation of Digital Crimes

2019 ◽  
Vol 28 ◽  
pp. 70-82 ◽  
Author(s):  
Noora Al Mutawa ◽  
Joanne Bryce ◽  
Virginia N.L. Franqueira ◽  
Andrew Marrington ◽  
Janet C. Read
Keyword(s):  
Digital Forensics ◽  
Evidence Analysis ◽  
Behavioural Evidence

Risk-Based Robust Bidding Strategies for EVs’ Aggregators in Day-ahead Markets with Uncertainty

2020 ◽  
Author(s):  
Ahmed Abdelmoaty ◽  
Wessam Mesbah ◽  
Mohammad A. M. Abdel-Aal ◽  
Ali T. Alawami
Keyword(s):  
Robust Optimization ◽  
Electricity Market ◽  
Real Life ◽  
Optimization Approach ◽  
Case Scenario ◽  
Worst Case ◽  
Bidding Strategies ◽  
Wind Generators ◽  
Proposed Model ◽  
Optimal Bidding

In the recent electricity market framework, the profit of the generation companies depends on the decision of the operator on the schedule of its units, the energy price, and the optimal bidding strategies. Due to the expanded integration of uncertain renewable generators which is highly intermittent such as wind plants, the coordination with other facilities to mitigate the risks of imbalances is mandatory. Accordingly, coordination of wind generators with the evolutionary Electric Vehicles (EVs) is expected to boost the performance of the grid. In this paper, we propose a robust optimization approach for the coordination between the wind-thermal generators and the EVs in a virtual<br>power plant (VPP) environment. The objective of maximizing the profit of the VPP Operator (VPPO) is studied. The optimal bidding strategy of the VPPO in the day-ahead market under uncertainties of wind power, energy<br>prices, imbalance prices, and demand is obtained for the worst case scenario. A case study is conducted to assess the e?effectiveness of the proposed model in terms of the VPPO's profit. A comparison between the proposed model and the scenario-based optimization was introduced. Our results confirmed that, although the conservative behavior of the worst-case robust optimization model, it helps the decision maker from the fluctuations of the uncertain parameters involved in the production and bidding processes. In addition, robust optimization is a more tractable problem and does not suffer from<br>the high computation burden associated with scenario-based stochastic programming. This makes it more practical for real-life scenarios.<br>

Intelligent recognition of semantic relationships based on antonymy

2020 ◽  
Vol 16 (3) ◽  
pp. 263-290
Author(s):  
Hui Guan ◽  
Chengzhen Jia ◽  
Hongji Yang
Keyword(s):  
Semantic Similarity ◽  
New Approach ◽  
Word Similarity ◽  
Semantic Relationships ◽  
Proposed Model ◽  
Path Distance ◽  
The Hierarchical Structure ◽  
Thinking Process ◽  
Similarity Measuring ◽  
Intelligent Recognition

Since computing semantic similarity tends to simulate the thinking process of humans, semantic dissimilarity must play a part in this process. In this paper, we present a new approach for semantic similarity measuring by taking consideration of dissimilarity into the process of computation. Specifically, the proposed measures explore the potential antonymy in the hierarchical structure of WordNet to represent the dissimilarity between concepts and then combine the dissimilarity with the results of existing methods to achieve semantic similarity results. The relation between parameters and the correlation value is discussed in detail. The proposed model is then applied to different text granularity levels to validate the correctness on similarity measurement. Experimental results show that the proposed approach not only achieves high correlation value against human ratings but also has effective improvement to existing path-distance based methods on the word similarity level, in the meanwhile effectively correct existing sentence similarity method in some cases in Microsoft Research Paraphrase Corpus and SemEval-2014 date set.

scholarly journals A New Approach to Inform Restoration and Management Decisions for Sustainable Apiculture

2021 ◽  
Vol 13 (11) ◽  
pp. 6109
Author(s):  
Joanne Lee Picknoll ◽  
Pieter Poot ◽  
Michael Renton
Keyword(s):  
Floral Resources ◽  
Pollination Services ◽  
New Approach ◽  
Honey Production ◽  
Proposed Model ◽  
Colony Loss ◽  
Supply Potential ◽  
Australian Case ◽  
Stocking Rates

Habitat loss has reduced the available resources for apiarists and is a key driver of poor colony health, colony loss, and reduced honey yields. The biggest challenge for apiarists in the future will be meeting increasing demands for pollination services, honey, and other bee products with limited resources. Targeted landscape restoration focusing on high-value or high-yielding forage could ensure adequate floral resources are available to sustain the growing industry. Tools are currently needed to evaluate the likely productivity of potential sites for restoration and inform decisions about plant selections and arrangements and hive stocking rates, movements, and placements. We propose a new approach for designing sites for apiculture, centred on a model of honey production that predicts how changes to plant and hive decisions affect the resource supply, potential for bees to collect resources, consumption of resources by the colonies, and subsequently, amount of honey that may be produced. The proposed model is discussed with reference to existing models, and data input requirements are discussed with reference to an Australian case study area. We conclude that no existing model exactly meets the requirements of our proposed approach, but components of several existing models could be combined to achieve these needs.

An Order Fulfillment Model for the LED Chip Manufacturing Plant

2013 ◽  
Vol 694-697 ◽  
pp. 3446-3452 ◽  
Author(s):  
Horng Huei Wu ◽  
Ming Feng Li ◽  
Tzu Fang Hsu
Keyword(s):  
Inventory Control ◽  
Real Life ◽  
Production Model ◽  
Order Fulfillment ◽  
Due Date ◽  
Make To Order ◽  
Proposed Model ◽  
General Production ◽  
Production Strategy ◽  
Production Output

The LED chip manufacturing (LED-CM) is an important process in the LED supply chain. The make-to-order production strategy is a general production model for the LED-CM plants to satisfy the variety requirement of their customers. However, the special features of the unstable production output and a product composed of the chips of different feasible Bins exist in the LED-CM plant. The production planner will confront the issue of effective inventory control and exact due-date performance under the severely competitive pressure. Therefore an effective order fulfillment procedure for production planners is a required key issue to accomplish the inventory control and exact due-date performance. An order fulfillment model for production planner is thus proposed in this paper to meet the requirement of the LED-CM plants. A real-life LED-CM case is also utilized to demonstrate and evaluate the application and effectiveness of the proposed model.

Recent Developments of the Theory of Turbulence

1937 ◽  
Vol 4 (3) ◽  
pp. A105-A108
Author(s):  
Hugh L. Dryden
Keyword(s):  
Turbulent Motion ◽  
New Approach ◽  
Recent Developments

Abstract A brief account is given of the principal concepts which have been utilized in the formulation of theories of the turbulent motion of fluids prior to 1935 and the new approach originated by G. I. Taylor in that year. A bibliography of 31 papers is included.

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