Integration of Ontological Scene Representation and Logic-Based Reasoning for Context-Aware Driver Assistance Systems

Co-operative driver assistance systems share information about their surrounding with each other, thus enhancing their knowledge and their performance. For successful information exchange and interpretation, a common domain understanding is needed. This paper first presents an ontology-based context-model for driving scene description, including next to spatio-temporal components also additional context information like traffic signs, state of the driver and the own-vehicle. For traffic rules, we integrate the ontological scene description with a logic programming environment, to enable complex and powerful reasoning on the given information. The proposed ontology is discussed with respect to a set of validation criteria. For integration with logic programming a prototypical development of an overtaking assistant is shown to demonstrate the feasibility of the approach

A Differential Cryptanalysis of Yen-Chen-Wu Multimedia Cryptography System (MCS)

At ISCAS'2005, Yen et al. presented a new chaos-based cryptosystem for multimedia transmission named "Multimedia Cryptography System" (MCS). No cryptanalytic results have been reported so far. This paper presents a differential attack to break MCS, which requires only seven chosen plaintexts. The complexity of the attack is O(N), where $N$ is the size of plaintext. Experimental results are also given to show the real performance of the proposed attack.Comment: 22 pages, 5 figure

ICT and COMPRAM to assess road traffic congestion management in Kinshasa

Abstract: Traffic Congestion Management (TCM) in a megacity like Kinshasa, capital of the DR Congo, is a knowledge and real life problem of complex nature. Here, the authors describe the TCM problem through 9 phases of the layer 1 of the COMPRAM methodology. TCM is a worldwide complex societal problem and specifically in Kinshasa where it presents a set of characteristics such as ‘chaotic’ driver behaviour, road potholes and the road network physiognomy doesn’t respond to the supply- versus demand-side equation. The other complex problems include the absence of road planning with consideration to demographic parameters and car ownership increase, no suitable traffic operations infrastructure and limited funds for both maintaining existing roads and building additional ones. To solve this TCM problem, the authors propose a TTCMP (Triangular Traffic Congestion Management Process) framework as an output based layer 1 of COMPRAM by identifying types and sources of congestion, followed by a TCM problem description and a set of technical elements for ‘curbing’ traffic congestion with an overview on a Bluetooth based technology for traffic data collection as an adapted ICT4D solution for a low-income city like Kinshasa

Complex societal problem related to the internet access and electricity access in DRC

Abstract: Democratic Republic of Congo (DRC)’s current situation is characterized by a catastrophical very poor access to both Good Quality Electricity (GQE) and High Speed Internet (HSI) which are natural rights and primary needs. If the limited access to GQE and HSI are established fact we are concerned about how it affects the individuals in particular and the country in general and what parts of DRC are affected by this problem. In this paper we describe this identified societal problem in “natural language” through some stages towards the comprehensive understanding and perception of our core hypothesis: “The access to GQE and HSI for all DR Congolese localities/towns/villages of at least 1,000 families is a complex societal problem”. We give a solution to part the problem. The current part consists of the global understanding of the problem by the stakeholders. It is a first brick that will contribute to solving a global problem. This paper does implement the first step/layer of a much broader methodological framework, having 9 layers, which is called COMPRAM (Complex Problem HAndling Methodology). The first layer of COMPRAM does involve three core steps: (1) personal consideration and observation by the analyst(s) (named M1), (2) information retrieval from literature and other sources (called M2), and (3) discussions with selected relevant experts and stakeholders (called M3)

Channel impulse response length and noise variance estimation for OFDM systems with adaptive guard interval

A new algorithm estimating channel impulse response (CIR) length and noise variance for orthogonal frequency-division multiplexing (OFDM) systems with adaptive guard interval (GI) length is proposed. To estimate the CIR length and the noise variance, the different statistical characteristics of the additive noise and the mobile radio channels are exploited. This difference is due to the fact that the variance of the channel coefficients depends on the position within the CIR, whereas the noise variance of each estimated channel tap is equal. Moreover, the channel can vary rapidly, but its length changes more slowly than its coefficients. An auxiliary function is established to distinguish these characteristics. The CIR length and the noise variance are estimated by varying the parameters of this function. The proposed method provides reliable information of the estimated CIR length and the noise variance even at signal-to-noise ratio (SNR) of 0 dB. This information can be applied to an OFDM system with adaptive GI length, where the length of the GI is adapted to the current length of the CIR. The length of the GI can therefore be optimized. Consequently, the spectral efficiency of the system is increased

Contribution to the Physical Modelling of Single Charged Defects Causing the Random Telegraph Noise in Junctionless FinFET

In this paper, different physical models of single trap defects are considered, which are localized in the oxide layer or at the oxide–semiconductor interface of field effect transistors. The influence of these defects with different sizes and shapes on the amplitude of the random telegraph noise (RTN) in Junctionless Fin Field Effect Transistor (FinFET) is modelled and simulated. The RTN amplitude dependence on the number of single charges trapped in a single defect is modelled and simulated too. It is found out that the RTN amplitude in the Junctionless FinFET does not depend on the shape, nor on the size of the single defect area. However, the RTN amplitude in the subthreshold region does considerably depend on the number of single charges trapped in the defectThis research was funded by Ministry of Innovation Development of the Republic of Uzbekistan, grant number OT-F2-67S

A Literature Review of Drone-Based Package Delivery Logistics Systems and Their Implementation Feasibility

In recent years, e-commerce businesses have seen an increase in the daily volume of packages to be delivered, as well as an increase in the number of particularly demanding customer expectations. In this respect, the delivery mechanism became prohibitively expensive, particularly for the final kilometer. To stay competitive and meet the increased demand, businesses began to look for innovative autonomous delivery options for the last mile, such as autonomous unmanned aerial vehicles/drones, which are a promising alternative for the logistics industry. Following the success of drones in surveillance and remote sensing, drone delivery systems have begun to emerge as a new solution to reduce delivery costs and delivery time. In the coming years, autonomous drone sharing systems will be an unavoidable logistical solution, especially with the new laws/recommendations introduced by the Flight World Organization on how to organize the operations of these special unmanned airline systems. This paper provides a comprehensive literature survey on a set of relevant research issues and highlights the representative solutions and concepts that have been proposed thus far in the design and modeling of the logistics of drone delivery systems, with the purpose of discussing the respective performance levels reached by the various suggested approaches. Furthermore, the paper also investigates the central problems to be addressed and briefly discusses and outlines a series of interesting new research avenues of relevance for drone-based package delivery systems