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3D Foot Scan to Custom Shoe Last
Get PDFToday’s customers not only look at aesthetic beauty but also quality, comfort and fit. New technologies such as digitization and virtual 3D tailoring are providing more options to consumers and designers in designing different styles with the least possible time. Next to the shoe fashion and style, good fit and comfort are the second important determinant in the purchase of footwear. Although there is a need for better fitting, there are no techniques for fit quantification. In traditional shoemaking, the shoe is categorized by the length and width (or girth), hence there is always a mismatch between the complex foot shape and shoe shape. For the industry in order to meet the demand for better footwear, new techniques for fit quantification is required in order to have a direct mapping form foot to shoe-last (a mold for making shoes). In recent years, with the rapid development of computer technology and advanced design and manufacturing technologies such as computer-aided design (CAD) and computer-aided manufacturing (CAM), the manufacturing of customized shoe lasts is becoming possible. Still research is needed to find the best shoe-last. This paper discusses the basic concepts and current methods being followed to convert foot to shoe-last, retrieve the best fitting shoe last based on the 3D foot scan of the customer, and to obtain customized shoe last
Predicting Fault-prone Software Module Using Data Mining Technique and Fuzzy Logic
Get PDFThis paper discusses a new model towards reliability and quality improvement of software systems by predicting fault-prone module before testing. Model utilizes the classification capability of data mining techniques and knowledge stored in software metrics to classify the software module as fault-prone or not fault-prone. A decision tree is constructed using ID3 algorithm for existing project data in order to gain information for the purpose of decision making whether a particular module id fault-prone or not. The gained information is converted into fuzzy rules and integrated with fuzzy inference system to predict fault-prone or not fault-prone software module for target data. The model is also able to predict fault-proneness degree of faulty module. The goal is to help software manager to concentrate their testing efforts to fault-prone modules in order to improve the reliability and quality of the software system. We used NASA projects data set from the PROMOSE repository to validate the predictive accuracy of the model
DYNAMIC DETECTION OF DESIGN INCONSISTENCY DURING SOFTWARE DEVELOPMENT USING DAID APPROACH
Get PDFEvolution of software has lead to the fast growth of technology whose impact can be witnessed in all the domains of scientific and engineering applications. Hence engineering high quality software is one of the core challenges of all IT industries. The software models which are being used for the development of the software products may lead to inconsistencies. Nevertheless, theexistence of several methodologies during the development process in order to overcome inconsistencies operates at static mode leading towards expensive nature of rework on those inconsistencies. Therefore, this paper presents a dynamic model which resolves the aforementioned issue by capturing inconsistencies dynamically in an automated mode using Dynamic automated inconsistency detection (DAID) model. The implementation results of DAID capture the design inconsistencies dynamically at the time of their injection points in lieu of inconsistency detection during validation testing. This approach of dynamic design inconsistency detection reduces cost, time and its associated overheads. Further implementation of DAID in an automated mode increases productivity, quality and sustainability in IT industries
SECURITY IN WIRELESS SENSOR NETWORKS USING ASSYMETRIC KEY BASED TECHNIQUES
Get PDFWireless sensor networks (WSNs) have recently attracted a lot of interest in the research community due their wide range of applications in our lives ranging from military applications to civilian ones.. Due to distributed nature of these networks and their deployment in remote areas, these networks are vulnerable to numerous security threats that can adversely affect their proper functioning. This problem is more critical if the network is deployed for some mission-critical applications such as in a tactical battlefield. Random failure of nodes is also very likely in real-life deployment scenarios. Due to resource constraints in the sensor nodes, traditional security mechanisms with large overhead of computation and communication are infeasible in WSNs. Security in sensor networks is, therefore, a particularly challenging task. In this current paper, we fundamentally focus on the security issue of WSNs and propose a protocol based on public key cryptography for external agent authentication and session key establishment. The proposed protocol is efficient and secure in compared to other public key based protocols in WSNs
VISUALIZATION OF NETWORK TRAFFIC
Get PDFNetwork security in today’s world is critical. System administrators must quickly perceive the security state of their networks, but they often have only text-based tools to work with. These tools often provide no overview that would help users grasp the big-picture.Network traffic visualization tools have successfully enabled security analysts to understand the nature of traffic present in a network. However these tools rely mainly on human expertise to discover anomalies in traffic and attack patterns.The visualization capability provided by Visualization tool allows an operator to assess the state of a large and complex network given an overall view of the entire network and filter/drill-down features with a friendly user interface that allows users to request more detailed information of interest such as specific protocol traffic flows.Visualization tool allows operators to detect and investigate anomalous internal and external network traffic. Visualization tool shows network events graphically. We model the network as a graph with hosts being nodes and traffic being flows on edges. We present a detailed description of Visualization tool functionality and demonstrate its application to traffic dynamics in order to monitor, discover, and investigate security-relevant events
Intelligent Transport Systems in Commercial Vehicle Operations
Get PDFIntelligent Transportation Systems (ITS) is the application of computers, communications and sensor technology to improve the efficiency or safety of surface transportation systems. The ITS initiative has been taken up by most developed countries including US, Canada, Australia and the European Union. This paper introduces ITS and its vision to save time, money and human lives. ITS can be applied to the entire spectrum of the transportation industry. This includes Freeway, Incident & Emergency Management, Electronic Toll Collection, Arterial Management, Travelers Information Systems, Advanced Public Transportation Systems, Commercial Vehicle Operations, etc. However the primary focus in this paper is on introducing the application of ITS technologies in the realm of Commercial Vehicle Operations (CVO). The paper covers the three major capability areas namely safety information exchange, electronic screening and electronic credentialing, giving details on the ongoing initiatives and the different technologies applied in the respective areas as well as the benefits offered by the same. The ITS initiative has caught up in a big way in the United States. The U.S. Department of Transportation (U.S. DOT) has sponsored and undertaken a program called Commercial Vehicle Information Systems and Networks (CVISN) Model Deployment Initiative (MDI). The goal of the CVISN initiative has been to assist each state in US to achieve ambitious but achievable level of deployment of ITS technology in all the three areas of commercial vehicle operations by establishing an organizational framework among state agencies and motor carriers for cooperative system development and creating a CVISN design architecture which can evolve and accommodate new technologies
Classification of Facial Emotions using Guided Particle Swarm Optimization I
Get PDFThis paper presents a novel approach to facial emotion detection using a modified Particle Swarm Optimization algorithm, which we called Guided Particle Swarm Optimization (GPSO). The approach involves tracking the movements of 10 Action Units (AUs) placed at appropriate points on the face of a subject and captured in video clips. Two dimensional rectangular domains are defined around each of the AUs and Particles are then defined to have a component in each domain, effectively creating a 10- dimensional search space within which particles fly in search of a solution. Since there are more than one possible target emotions at any point in time, multiple swarms are used, with each swarm having a specific emotion as its target. At each frame in the video clip, the solution of the swarm that is nearest to its target is accepted as the solution. Our results so far show the approach to have a promising success rate
Precise Descriptions of VLC Synchronization with CSP Semantic Models
Get PDFVariable length codes (VLC) have found widespread applications due to their inherent coding efficiency. However, encoder-decoder synchronization becomes critically important for VLC to operate properly. Traditional treebased techniques lack the scalability to analyse the synchronization behaviours of VLC, and simulation techniques are typically used instead for large code sets. Building on an initial paper in which we first described an application of CSP to this domain, we present further advances in this paper. The contributions of this paper are twofold. First, we describe a novel application of the CSP stable failure model to completely describe the VLC synchronization mechanisms. Consequently, we concisely characterize bit patterns that can bring about rapid synchronization. The overall goal is to advance our understanding in this important area of research through an established formal description technique originally developed and used within the computing research community
Cellular Automata Based Data Security Scheme in Computer Network using Single Electron Device
Get PDFThe internet conceptualized new ways of social interaction, activities globally. Internet serves billions of users worldwide. By the end of 2011it is expected that 22% of the world’s population will regularly surf internet. Beside this, internet incorporated high risks for e-users by enabling intruders to gain access via security holes. Network security is a course of action for assuring data from illicit accessing, exploitation, exposure, damage, alteration, or disorders related to the impulsive growth of popularity of e-users. Cellular Automata (CA) has been recommended in favor of the potential usage of data security. Single Electron devices (SED) have unanimously contributed in significant reduction of size of electronic devices and are now weighed up as the best substitute of future device family. Here we address a novel adaptive method to assimilate CA using SED in data security
A Review on Intelligent Agent Systems
Get PDFMulti-agent system (MAS) is a common way of exploiting the potential power of agent by combining many agents in one system. Each agent in a multivalent system has incomplete information and is in capable of solving entire problem on its own. Multi-agent system offers modularity. If a problem domain is particularly complex, large and contain uncertainty, then the one way to address, it to develop a number of functional specific and modular agent that are specialized at solving various problems individually. It also consists of heterogeneous agents implemented by different tool and techniques. MAS can be defining as loosely coupled network of problem solvers that interact to solve problems that are beyond the individual capabilities or knowledge of each problem solver. These problem solvers, often ailed agent are autonomous and can be heterogeneous in nature. MAS is followed by characteristics, Future application, What to be change, problem solving agent, tools and techniques used, various architecture, multi agent applications and finally future Direction and conclusion. Various Characteristics are limited viewpoint, effectively, decentralized; computation is asynchronous, use of genetic algorithms. It has some drawbacks which must be change to make MAS more effective. In the session of problem solving of MAS, the agent performance measure contains many factors to improve it like formulation of problems, task allocation, organizations. In planning of multivalent this paper cover self-interested multivalent interactions, modeling of other agents, managing communication, effective allocation of limited resources to multiple agents with managing resources. Using of tool, to make the agent more efficient in task that are often used. The architecture o MAS followed by three layers, explore, wander, avoid obstacles respectively. Further different and task decomposition can yield various architecture like BDI (Belief Desire Intension), RETSINA. Various applications of multi agent system exist today, to solve the real-life problems, new systems are being developed two distinct categories and also many others like process control, telecommunication, air traffic control, transportation systems, commercial management, electronic commerce, entertainment applications, medical applications. The future aspect of MAS to solve problems that are too large, to allow interconnection and interoperation of multiple existing legacy systems etc