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

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

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

Characteristics of hunters and the socio-economic importance of selling game on the survival of village households in the Kisangani Forest Region (R.D.C.)

The present study focuses on the description of hunting professionals and intends to determine the contribution of hunting in the survival of village households in the former Province Orientale. It contributes to the in-depth knowledge of the profile of these key players in the commercial bushmeat market and the understanding of the socio-economic context at the first level of the game sales chain. The methods used to achieve the set objectives are summarized first of all in the questionnaire which made it possible to establish the survey form containing the identity of the interviewees and other descriptions, the interview, then the direct observation on the ground. , cost-benefit analysis and chi-square test and Anova. After tabulation and data processing, it appears that the hunters are all men whose age varies from 20 to 69 years. They come from different ethnic backgrounds and most of them are married and responsible for households. As a level of education, there are among them illiterates, primarians and some graduates. The results show that bushmeat consumption occurs 1 to 3 times per week in most village households. The average monthly hunter\u27s income estimate is USD 58.18 to meet the multiple daily needs

Intelligent transportation related complex systems and sensors

Building around innovative services related to different modes of transport and traffic management, intelligent transport systems (ITSs) are being widely adopted worldwide to improve the efficiency and safety of the transportation system. They enable users to be better informed and make safer, more coordinated, and smarter decisions on the use of transport networks. Current ITSs are complex systems, made up of several components/sub-systems characterized by time-dependent interactions among themselves. Some examples of these transportation-related complex systems include road traffic sensors, autonomous/automated cars, smart cities, smart sensors, virtual sensors, traffic control systems, smart roads, logistics systems, smart mobility systems, and many others that are emerging from niche areas

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

Development of a Smart Chair Sensors System and Classification of Sitting Postures with Deep Learning Algorithms

Nowadays in modern societies, a sedentary lifestyle is almost inevitable for a majority of the population. Long hours of sitting, especially in wrong postures, may result in health complications. A smart chair with the capability to identify sitting postures can help reduce health risks induced by a modern lifestyle. This paper presents the design, realization and evaluation of a new smart chair sensors system capable of sitting postures identification. The system consists of eight pressure sensors placed on the chair's sitting cushion and the backrest. A signal acquisition board was designed from scratch to acquire data generated by the pressure sensors and transmit them via a Wi-Fi network to a purposely developed graphical user interface which monitors and stores the acquired sensors' data on a computer. The designed system was tested by means of an extensive sitting experiment involving 40 subjects, and from the acquired data, the classification of the respective sitting postures out of eight possible postures was performed. Hereby, the performance of seven deep-learning algorithms was assessed. The best accuracy of 91.68% was achieved by an echo memory network model. The designed smart chair sensors system is simple and versatile, low cost and accurate, and it can easily be deployed in several smart chair environments, both for public and private contexts