Search

With the development of computer technology, automatic test paper generation systems have gradually become an effective tool for detecting and maintaining national machine security and protecting the rights and interests of workers. This article achieved multi-level oral scores for different types of questions through online scoring using artificial neural networks in recent years. Based on its specific situation and evaluation index requirements, an analysis module that is reasonable, efficient, and in line with the hierarchical structure and module requirements of national conditions has been designed to complete the research on automatic test paper generation technology, in order to help better manage and allocate human resources and improve production efficiency. Afterwards, this article conducted functional testing on the technical module. The test results showed that the scalability of the system was over 82%. [ABSTRACT FROM AUTHOR]

This paper introduces a kind of intelligent lubricating oil quality detector integrating computer technology. On the basis of the traditional lubricating oil quality detection, through the introduction of advanced computer technology, the equipment realizes the automation of the detection process, the intelligence of data processing and the convenience of remote monitoring and management. This paper not only expounds the system structure and working principle of the detector, but also discusses the application of computer technology in the detection process. [ABSTRACT FROM AUTHOR]

Landscape design has a long history, from ancient royal gardens to modern urban parks, and its design concepts and techniques are constantly evolving. Nowadays, with the improvement of people's environmental requirements, landscape design is also constantly innovating. Although the landscape has made great progress, in actual operation, there are problems such as communication barriers with customers, difficulty in design implementation, and inability to preview the design effect in real time. Computer augmented reality technology has begun to play an important role in landscape design. Augmented Reality (AR) overlays the virtual 3D model into the real scene, previews the effect of design implementation in real time, carries out data analysis and optimization, and improves the design better to meet the needs of the public. In order to scientifically evaluate the effect of computer augmented reality technology in landscape design, this paper sets two main indicators: efficiency and quality. Efficiency is primarily concerned with the speed difference compared to traditional design methods. By means of comparative experiments, the time required to use augmented reality technology is calculated. Quality is mainly based on user feedback and expert review. Through users' actual experience of landscape design under augmented reality technology, their feedback is collected, and combined with professional review, the performance of augmented reality technology in design quality is comprehensively evaluated. This paper investigates the evaluation results of people in four landscapes (green plants, pavilions, ancient buildings, fountains). The survey results show that the fountain design quality is 80 points, the efficiency score is consistent with the pavilion, the feasibility score exceeds 80 points (82), and the user satisfaction is 5 points higher than the pavilion design. [ABSTRACT FROM AUTHOR]

With the rapid development of computer technology. Many scholars pay close attention to computer graphics algorithms, which makes computer graphics widely used in various fields and enters a new revolutionary era. The purpose of this paper is to study the evaluation of computer graphics algorithm demonstration systems. Combining theory with practice, on the basis of careful analysis of the principle of graphics algorithm, a new idea of synchronization of graphics production process and a specific algorithm for realizing graphics are proposed, and most graphics in computer graphics are visualized. It breaks the limitation that only two-dimensional graphic simulation effects can be realized, and increases the interactive user control system. The algorithm complexity is significantly reduced, the graphics creation speed is increased, and the simulation effect is more realistic. After the introduction of this visual teaching demonstration system, these abstract principles can be explained intuitively, which can significantly improve the teaching quality. [ABSTRACT FROM AUTHOR]

In university-level education, the computer network is a mandatory course for computer science and engineering majors. A computer network course provides theoretical and hands-on foundations for network connectivity, network topologies, internet protocols, networking devices, and gateways. In the traditional classroom, students face challenges in gaining essential knowledge and self-efficacy. Teachers face challenges in assessing students' quality of knowledge due to the abundance of online computer science teaching resources. Chatbot technologies have the potential to overcome these challenges and enhance essential knowledge and self-efficacy. However, the argument remains whether a course-specific standard chatbot or a generalizable chatbot could produce high-quality answers. Therefore, in this paper, we research 1) to what extent does using chatbots improve higher education students' essential knowledge of computers network? and 2) to what extent does using chatbots improve the self-efficacy of higher education students? Our first insight indicates that groundbreaking generalizable chatbots such as You and ChatGPT produce rather detailed answers to the questions associated with computer network courses, but those answers may not be the model answers that teachers expect from the students. Hence, research-based course-specific standard chatbots are required to teach computer network topics effectively. [ABSTRACT FROM AUTHOR]

In a world whose attention to environmental and health problems is very high, the issue of properly managing nuclear waste is of a primary importance. Information and Communication Technologies have the due to support the definition of the next-generation plants for temporary storage of such wasting materials. This paper investigates on the adoption of one of the most cutting-edge techniques in computer science and engineering, i.e. Digital Twins, with the combination of other modern methods and technologies as Internet of Things, model-based and data-driven approaches. The result is the definition of a methodology able to support the construction of risk-aware facilities for storing nuclear waste. [ABSTRACT FROM AUTHOR]

The research presented in this paper aims at egg fertility detection during incubation based on the presence of the embryo. To obtain an optimal detection method that does not adversely affect the incubation process, the presented approach uses computer technology to analyze the images obtained from the egg candling process, and to obtain information about the presence of an egg embryo. This study applies the Support Vector Machine (SVM) classifier method using the second-order statistical feature extraction input to detect the chicken egg's fertility. The feature extraction is based on the Gray-Level Co-occurrence Matrix (GLCM) approach with 6 parameters: Energy (En), Contrast (Ct), Entropy (Et), Variance (V), Correlation (Cr), and Homogeneity (H). This study develops a manual detection process that takes a long time and improves the research accuracy of the backpropagation method. The dataset used consisted of 100 images of chicken eggs, including 50 images for each type: fertile and infertile. The preprocessing of the images included cropping, grayscaling, and image enhancement using CLAHE (Contrast Limited Adaptive Histogram Equalization) and HE (Histogram Equalization) methods. Such process can improve the image to get its GLCM parameters. The extracted GLCM parameters are input to the egg fertility detection process performed by the SVM classifier-based method. The presented SVM-GLCM approach was able to detect fertile and infertile eggs with a success rate of 98.20%, which was an improvement over the previous research. This research can be a reference for implementing the detection of chicken egg fertility in the incubation machine to obtain optimal hatching results. [ABSTRACT FROM AUTHOR]

This paper briefly describes the overall concept of "TRAVEL TYCOON GREECE" (TTGR), a novel business simulation game which aims to simulate realistically a complete tourism experience. The latest image processing and computer graphics technologies were utilized to create accurate 3D backgrounds with different levels of detail, which were incorporated in the game engine and serve as a realistic and accurate terrain allowing the user to navigate in selected historical and touristic areas of Greece. A series of real-world scenarios representing multiple components of the tourism section were designed primarily for entertainment and marketing purposes. In order to motivate users to participate in the game or remain active, an incorporated ticketing platform allows users to win offers such as touristic products and services. [ABSTRACT FROM AUTHOR]

Based on the study of the reliability parameters of traditional communication networks, a set of new communication network evaluation parameters are proposed in this paper, including network reliability parameters, network availability parameters and network completion parameters, to evaluate the transmission of the entire communication network performance. Moreover, the derivation formulas for different parameters are also listed in this paper. [ABSTRACT FROM AUTHOR]

Virtual Operating room characterizes a large artificial environment of interaction in the medical context. It enables a better simulation for different surgical scenarios through 3D (three‐dimensional) objects. Virtual Reality (VR) uses computer technology to develop these virtual simulated applications. It brings valuable innovations in different fields. It is integrated also to enhance healthcare and therapies. To improve and assist on medical VR applications, ontologies would be useful. They can unify the content of these applications and facilitate their implementation via semantic rules. Also, ontologies can be applied to realize an effective VR knowledge modeling. This paper presents a virtual simulation of an operating room taking advantage of the semantic representation. The goal of this study is to propose a novel ontological VR system that models an operating room and its components. The execution of the proposed method was proved by the developed ontology OROnto (Operating Room Ontology). This ontology was useful for modeling hospital scenarios and the construction of a valuable VR system. To demonstrate the proposed approach feasibility and performance, we have implemented the Operating Room Virtual Integration Process Using Ontology (ORVIPO) prototype. Compared to different other ontological methods and related works, our approach have shown interesting findings such as recall (71%), precision (83%), and F-measure (76%). [ABSTRACT FROM AUTHOR]

Currently, the direction of computer technology in the automotive industry is developing strongly. One of the newest areas is the driver assistance system. One of its main functions is the all-round visibility. It allows you to create a view of the car from above, and it is possible to display from different viewing angles using images from four cameras placed on all sides of the car. There are a large number of solutions in this area, but they are usually specific to different types of equipment. In this paper we will consider the Circular view algorithm on the embedded tda3xx Board. [ABSTRACT FROM AUTHOR]

High frequencies of the order of hundreds of kHz to MHz are employed for underwater imaging applications. Signal to noise ratios encountered for the front end receiver sections are seen to be very much reduced for these applications. Hence a low noise preamplifier and filter stage is very essential prior to the conventional antialiasing and digitization functionalities of the front end receivers. In this paper, an attempt is made to design and develop a low noise pre amplifier and filter to achieve a better SNR for the system. The pre amplifier stage designed is interfaced with hydrophones directly for gain and impedance matching purposes. The noise reduction is further achieved by means of a filter following the preamplifier stage which rejects the out of the band noise to an optimum level. Thorough study and analysis is carried out in this paper for the selection of low noise opamps, associated passive components and configuration of the preamplifier sections. Acoustic measurements are carried out for a sensor array of 150 kHz for evaluating the preamplifier and filter performance in the real scenario. [ABSTRACT FROM AUTHOR]

Community refers to the group of entities which have similar behavior or characteristic among them. Usually community represents basic functional unit of social network. By understanding the behavior of elements in a community, one can predict the overall feature of large scale social network. Social networks are generally represented in the form of graph structure, where the nodes in it represent the social entities and the edges correspond to the relationships between them. Detecting different communities in large scale network is a challenging task due to huge data size associated with such network. Community detection is one of the emerging research area in social network analysis. In this paper, a spanning tree based algorithm has been proposed for community detection which provides better performance with respect to both time and accuracy. Modularity is the well known metric used to measure the quality of community partition in most of the community detection algorithms. In this paper, an extensive version of modularity has been used for quality assessment. [ABSTRACT FROM AUTHOR]

Due to increase in internet based services, the size of network traffic data has become so large and complex that it is very difficult to process with the traditional data processing tools. Fast and efficient cyber security intrusion detection is a very challenging problem due to big and complex nature of network traffic data. A realistic cyber security intrusion detection system should be able to process large size of network traffic data as fast as possible in order to detect the malicious traffic as early as possible. This paper used Apache Spark, a big data processing tool for processing the large size of network traffic data. In this paper, we have proposed a framework in which first a well-known feature selection algorithm is employed for selecting the most important features and then classification based intrusion detection method is used for fast and efficient detection of intrusion in the massive network traffic. In this work, we have used two well-known feature selection algorithm, namely, correlation based feature selection and Chi-squared feature selection and five well known classification based intrusion detection methods, namely, Logistic regression, Support vector machines, Random forest, Gradient Boosted Decision trees & Naive Bayes. A real time DARPA's KDD’99 data set is used to validate the proposed framework and performance comparison of classification based intrusion detection schemes are evaluated in terms of training time, prediction time, accuracy, sensitivity and specificity. [ABSTRACT FROM AUTHOR]

This paper proposes a concise overview of Probabilistic Semantics according to a technology-oriented perspective. Indeed, while the progressive consolidation of Semantic Technology in a wide context and on a large scale is going to be a fact, the non-deterministic character of many problems and environments suggests the rise of additional researches around semantics to integrate the mainstream. Probabilistic extensions and their implications to the current semantic ecosystems are discussed in this paper with an implicit focus on the Web and its evolution. The critical literature review undertaken shows valuable theoretical works, effective applications, evidences of an increasing research interest as the response to real problems, as well as largely unexplored research areas. [ABSTRACT FROM AUTHOR]

Attribute Based Encryption (ABE) is a type of public encryption in decryptor can only decrypt the ciphertext if its attributes of secret key matches the attributes of ciphertext but functionality comes at higher cost. The main idea of this paper is to provide multi authority in attribute based encryption which also allows fast decryption. Multi authority concept allows any polynomial number of independent authorities to monitor attributes, distribute secret keys and decrypt the message. In this paper, a secure multi authority attribute based encryption with fast decryption scheme is design. [ABSTRACT FROM AUTHOR]

This paper presents a low power modulo 2 n +1 multiplier in which one input and output uses the weighted representation while the other input uses the diminished-1 representation. The low power in the multiplier is achieved by reducing the number of transition or transition frequency in the adder tree which is used to reduce the partial product and data aware properties is achieved with the help of the master and slave latches, dynamic range detection unit and the bit restoration unit. The dynamic range detection unit detects the dynamic range between the input data's and it allows only those data for the further processing in the adder unit and bit restoration unit take care of the data bit which is lost during the addition. The multiplier proposed in this paper form only n/2 (n=number of input bits)partialproduct which is less than all the partial products produced by the available multiplier. Although by applying this logic there is a area overhead but there is a increase in power saving from 32% to 77% as the number of bits in the input of the multiplier increases from 4 to 32 bit. [ABSTRACT FROM AUTHOR]

Evaluation of aircraft characteristics at high angles of attack is one of the most important tasks when testing highly maneuverable aircraft. The paper presents a new methodology for flight tests of aircraft at high angles of attack based on information and computer technologies. The key points are the flight experiment design, the identification of aerodynamic coefficients at super-critical angles of attack, the use of mathematic models for the phenomena of aerodynamic hysteresis. Practical results in the field of testing aircraft at high and super-critical angles of attack are presented. [ABSTRACT FROM AUTHOR]

Background, Motivation and Objective With regard to engineering, there have been serious concerns about the employability of Indian graduates. There are alarming statistics in a NASSCOM report, which estimates that, of the 3 million joining the IT workforce, only twenty five percent of graduates with engineering background are employable. The figures are grave in the context of graduates from sciences and humanities, which is less than fifteen percent. Aspiring Minds has been administering a computer-based test called AMCAT to lakhs of students in 650+ engineering institutions measure employability of technical graduates. This considers parameters like Business Communication & English, Logical & Numerical skills, analytical & problem-resolution skills and coding. The results are a revelation, 47% of graduates cannot be employed in any domain or sector of the knowledge economy. 17.91%, 3.67% and 40.57% are the employability figures for software services, software products and BPO. Only 3.84% graduates are start-up ready and 6.56% are design job ready and the same trend for other core engineering jobs. There is an urgent need to improve employability of our engineering graduates. This calls for lateral thinking and out-of-the-box initiatives such as experiential learning programs and competitive programming; implementations of which we explore in a top-ranking private university as a case study. Statement of Contribution/Methods The case study of implementation of initiatives in experiential learning programs and competitive programming in a private university is highlighted. An Experiential learning program titled Live-in-Labs as part of the curriculum is explored. This program is student-centric, learner-centric, participatory and hands-on and they provide students an avenue to apply their acquired engineering knowledge, concepts and skills and deploy on a real-time basis in India's villages. It's Course Outcomes (CO) such as human-centered design concepts to document observations and user experiences, user-needs assessment and prioritization are enlisted. A very strong mapping to several Program Outcomes (PO) is observed unlike various regular courses in curriculum. Structured competitive programming initiative in which students compete with others in a contest environment in parameters such as program correctness, execution time, and development time is yet another effort towards student-centered learning. Platforms such as CodeChef, HackerRank and contests such International Collegiate Programming Contest (ICPC), which is considered as the Olympics of Collegiate Programming with annual participation of 50,000 students in 2000+ universities in 100+ countries are efforts in this direction. Competitive Programming initiative's learning objectives also spans several POs. Results, Discussion and Conclusions. Strong mapping of COs to POs inherent in the experiential learning programs improves the employability as also the progression and prospects of the students. Live-in-Labs® program exposes students to pressing issues confronted by village communities in India, through experiential learning opportunities, in order to apply theoretical concepts into application & deployment, by the devising of innovative technology remedies, and facilitation of crucial and collaborative problem-resolution capabilities of the students participating in the program. The participation of several students from foreign universities also enriches learning, collaboration and diversity. Every Live-in-Labs project results in a student paper published in reputed journals and conferences. It also improves student progression in terms of higher studies and high-paying jobs. Competitive programming dramatically improves student skills and capabilities in problem solving, coding, team work, innovation and creativity. It is also observed that code geeks from competitive programming initiatives are invariably the ones to secure the highest paying jobs in dream companies like Google, Amazon and Facebook. [ABSTRACT FROM AUTHOR]

The high-quality engineering education is one of the challenges in the 21stcentury, where the teaching-learning process will be enhanced by integrating and involving the students in the teaching process and the course will be delivered in an interesting and engaging way. So in the process of reforming the engineering education, the Department of Mechanical Engineering of RIT, Rajaramnagar has initiated Conceive, Design, Implement and Operate (CDIO) approach to produce the 21st-century engineers. CDIO approach caters an engineering education that stresses fundamentals set in the context of real-world systems and products. It provides a universal structure for a strong engineering education integrating an entire set of graduate attributes. Developing undergraduate students into successful engineers requires integration of technical knowledge and soft skills. As a part of CDIO implementation, the mechanical program has been modified to provide integrated team-based project learning. The paper presents the implementation methodology of the concept with an emphasis on the Third year design projects. As per the CDIO standards and syllabus, the program has been modified and the required facilities were made available in the college campus such as Workspaces and laboratories. The structured research-driven approach is provided to monitor and review the implementation of the CDIO principles and standards. It is observed that CDIO provides integrated learning to develop deep learning of technical knowledge whilst simultaneously develops personal, interpersonal, process, product, and system developing skills. The primary outcome of the CDIO is the students are exposed to the work environment used in the industry for the product and process development and the secondary outcome is that it provides a useful tool for devolvement and assessment of the skill set of the students. Finally, the effect of CDIO initiative for project enrichment is discussed and future plan is presented. [ABSTRACT FROM AUTHOR]

The paper proposes a framework to redesign a course as an integrated course through experiential learning. Initially the courses were designed for class room lecturing and evaluated through written examinations. It is observed that engineering students learn better by experiential learning. The learning is enhanced with more of hands-on experience along with class room learning. Towards this, the ECE curriculum is reframed to promote integrated courses by including hands on experience along with traditional class room teaching. In this regard the courses, Multimedia Signal Processing (MSP) for post graduates and Information Theory Coding (ITC) for under graduates were redesigned as integrated courses. The implementation activity was structured to explore the concepts and apply to arrive at better engineering solutions. This transformation in course design helped students to understand theoretical concepts beyond the class room teaching and it supported them in defining the areas of their projects. [ABSTRACT FROM AUTHOR]

India produces over two million engineering graduates a year as well as another million graduates in related fields such as computer science, biotechnology etc. Employers cite new graduates lack communication skills, problem solving skills and technical skills. The Indian Information Technology (IT) sector has fast changing technical requirements and understanding its requirement is very important for academics and professional trainers so that they can better prepare students with relevant skills. In this paper, we have developed a simple methodology to analyse the requirements of the Indian IT industry by parsing their job portals and extracting information from their job descriptions. We selected the top 10 IT companies by market cap to conduct our analysis. We extracted the number of jobs that contained each keywords like Java, CCNA, SAP, Agile and computed the popularity of each skill and ranked them accordingly. We find that IT industry requires software and skills like Java, Python, SQL are covered by most universities but paid and in demand commercial software tools like SAP, Oracle are not part of the curriculum. This methodology can also track the evolution of skills and predict new skills that can become popular in Industries in the future. [ABSTRACT FROM AUTHOR]

Peer Learning is considered one of the innovative teaching learning strategies in current engineering education. It covers many learning techniques suitable for both in and out of the classroom. Some of the types includes peer tutoring, groups discussions (small or large groups), and feedback-based learning. These methods have been proven effective to improve students understanding provided peer learning techniques are well monitored and assisted. In this attempt of implementing peer learning, instructor assisted peer learning is adopted to see the effectiveness of the learning technique. The method is applied to 4th Sem B. Tech. in Computer Engineering in Computer Networks subject. Students are divided into group 0f 5-6 with a mix of fast learner, slow learner and regular (in attending lectures). A problem based on the previously discussed topic was given and asked to solve in a group within the class room. However, initially one member from each group has to come and describe the underlaying theory behind the problem and necessary care to be taken to solve it. After the activity, feedback on the activity is taken to know the reaction of the student. One quiz is also conducted to see the understanding of the topic. Similar quiz is also conducted in another class where the peer learning was not adopted and results are compared. Observation shows that understanding of the topic is better in the class where peer learning was adopted. An analysis of the students' feedback and results are presented in the paper. [ABSTRACT FROM AUTHOR]

Convergent and divergent thinking is an essential skill required to think critically and solve a Higher-Order level problem. The practice in improving both convergent and divergent thinking during various phases of problem-solving can enable students to produce a better solution. This paper presents a Learning Analytics Framework used for categorizing a student as a convergent and divergent thinker based on problem-solving skills that focus on identifying student's problem-solving abilities through Moodle tools and plugins. The core of this framework is a Moodle platform, that is acquiescent with the Learning Management System, and that has the ability of monitoring and recording the events generated by students. Based on these event logs and activities, the tools extract the process in which a student solves a problem of the course, allowing teachers to rethink and introduce changes in the problem-solving methods of the student. A study was conducted on third-year students from Computer Science Engineering to investigate the effects of the intervention. The results show a gradual development in learners' thoughts in both convergent and divergent thinking during problem-solving. [ABSTRACT FROM AUTHOR]

With active advancements in computer and computational technologies, deep learning has found its way into many fields. Recently it has become an active topic of research in diffractive optics and holography. Deep leaning techniques have been shown to benefit greatly from abundant information offered by using both amplitude and phase of the optical field. These techniques can be applied for image reconstruction, zero-order suppression, hologram generation, etc. In this paper various learning based methods for enhancing digital and computer-generated holography are analysed. We demonstrate a deep learning model for generating diffractive optical elements from an arbitrary intensity-only image. Numerical evaluation of model's performance has shown that generated diffractive optical elements are of acceptable quality. [ABSTRACT FROM AUTHOR]

In the actual production of grease, the design and application of industrial computer control systems can help to achieve intelligent management of various processes in grease production, thereby improving grease production efficiency and exerting positive impact. This paper will introduce the problems of industrial computer control systems design in grease production, analyze industrial computer control systems, and optimize the design plan and implement the system. [ABSTRACT FROM AUTHOR]

This paper addresses approaches to handle System Engineering and Integration (SE&I) activities associated with complex adaptive systems (CAS). In this paper we will talk about two major initiatives within advanced SEI capabilities that address risk driven engineering and integration challenges posed from a CAS like environment. The first initiative is based on the use of an advanced Conops development and modelling approach implemented through a CONOPS Simulator concept. Next initiative outlines advanced applications of Reference Architectures (RA's) as it relates to system design activities within a CAS environment. These initiatives are applied as the foundation for a risk adverse design within CAS Enterprises. [ABSTRACT FROM AUTHOR]

Abstract: One of the challenges of systems engineering research is that the expertise and the application happen “in the field”. The field can be an industrial company or a government agency. Researchers need methods to research in the field; methods to try-out ideas, collect data, analyze, and evaluate. In this paper, we present a simple research model to help researchers to shape their research. We provide and discuss a number of elementary research methods. The model and the elementary research methods are based on our systems engineering research experiences in the past five years. We conclude the paper with some validation challenges and pitfalls. [Copyright &y& Elsevier]

Abstract: This paper compares two fundamentally different systems engineering approaches found in two separate NASA systems engineering manuals. These manuals and their corresponding approaches exist as a collection of information that have been gathered, analyzed, and structured in order to help guide systems engineers and systems engineering in the development and management of complex launch systems. As a result, both manuals demonstrate in-depth insight into systems engineering as a discipline and its evolution through decades of practice, research, and collective thought. However, in order to fully understand the insight these manuals can provide, this paper presents a clear description, discussion, and distinction between the 1995 NASA manual with its focus on the product aspects within systems engineering and the 2007 NASA manual with its focus on the process aspects. By allowing this separation, this paper abstracts the characteristics, merits, and issues surrounding these two systems engineering approaches and leverages them to critically examine NASA''s formal systems engineering culture. [Copyright &y& Elsevier]

Abstract: In this paper, we review and analyze the systems engineering graduate research projects that students have completed as part of their curriculum requirement. The information presented here is gathered over five years. The semester long projects are completed as part of the graduate course titled ‘System Development Workshop’ taught at Southern Polytechnic State University (SPSU). Students are required to investigate a discipline-related topic in systems engineering in the form of capstone project. The general intent of the project is to give students an opportunity towards the end of their Master''s degree courses, to demonstrate and apply the knowledge they have acquired over the course of the curriculum. The work performed in the project draws upon skills and knowledge acquired in the program. Students are required to identify an engineering problem, often in their work environment, and use systems engineering methods to achieve a solution to the problem. At the end of the study, each student prepares a formal report describing the work performed, resulting conclusions and recommendations. In addition, students present their results to the online audience. Students are expected to meet professional engineering standards in their work and reports. The results of the projects are considered for submission to an academic conference or journal in the field. This course gives students, often times their first, taste of research. The intent of this paper is to demonstrate several examples of research projects completed by students and to investigate the efficacy of a research based course in Systems Engineering graduate curriculum. [Copyright &y& Elsevier]

Abstract: Text in scene images can provide useful and vital information for content-based image analysis. Therefore, localization of text in images is an important task. In this paper, we present a hybrid approach to localize Farsi text in natural scene images. Complex background, variations of text font, size and line orientation and non-uniform illumination are the problems of this method. The Language of text localization in the past works is almost limited to English or Chinese. In this paper we consider Farsi/Arabic language for text localization. Due to the specific features of this language challenges of text localization are numerous. In this paper, in the first step a new color based method is proposed for extracting candidate regions, then the texts in natural scene images are detected by combining edge and color features. Variation due to text size and orientation, are resolved by a new pyramid of images. The candidate texts are verified by combination of two features, wavelet histogram and histogram of oriented gradient. Experimental results using our large dataset have demonstrated that the proposed method is effective and promising. [Copyright &y& Elsevier]

Abstract: In this paper, a hybrid intelligent system is proposed for designing a contract model of the weather derivatives between energy utilities. In recent years, the weather conditions often bring about uncertainties on profits to companies that are related to weather conditions. As a result, they require a strategy to equalize the profits and avoid unexpected deficits. To satisfy the requirements, weather derivatives are developed to the companies. They may be expressed as the function of the weather conditions such as the average, the maximum temperature, etc. So far, a lot of the derivatives have been developed, but it is not clear how to design them due to the nondisclosure on practical knowledge. In this paper, an efficient method is presented to determine a contract model of weather derivatives. As the first stage, this paper focuses on the normal data. A reasonable model is constructed by the learning process for the normal data. This paper formulates the contract model as a two-phased problem. Phase 1 carries out data clustering of curves to extract the normal data with DA (Deterministic Annealing) of global clustering technique. Phase 2 optimizes the parameters of the model that equalizes the payoffs between two companies in a sense that the mean and the variance of the payoff are equalized for both companies with EPSO (Evolutionary Particle Swarm Optimization) of meta- heuristics. The proposed method is successfully applied to the real data in Tokyo, Japan. [Copyright &y& Elsevier]

Image segmentation forms an important concept in the computer vision technology. Image segmentation breaks the image into boundaries that differentiate meaningful components. For computer vision to realize its full potential it is essential that the image segmentation algorithms give accurate results in a fast and efficient way. In hierarchical architecture based IoT networks set up to "see" the world, methods of computer vision need more analysis. The need for low cost setup for IoT networks in terms of memory and their computational capabilities demands research for developing methods that are resource sensitive and can be successfully integrated into such networks of low end IoT servers. Addressing this need, a refined graph cut segmentation technique for low to medium resolution images and for constrained devices is presented in the paper. Implementation and analysis of the refined graph cut segmenter for linux based IoT servers is discussed. A comparison with the contemporary segmentation methods under similar constraints is also presented. [ABSTRACT FROM AUTHOR]

In the production of automotive gauge, one of the most important step is to test the meters on the dashboard some of which are needle meters. Based on computer vision technology, a dynamic automatic reading value test method is presented in the paper. With a hardware in the loop (HIL) platform simulating the actual vehicle running state and providing sensor signals or data via CAN(controller area network) bus for the tested automotive dashboard, the needle meters of the dashboard are tested by comparing the input and indication which is obtained through image process method. As the core technology of the method, how to read the indication of the needle meters automatically is expounded in detail. The proposed method is tested on an experimental system which is composed of a HIL platform based on VECTOR dSpace and a computer vision equipment including several MV-VS078FC cameras. The HIL and vision parts can coordinately work to fulfil the automatic test procedure. The meters can be dynamically driven and precisely automaticly read out. [ABSTRACT FROM AUTHOR]

Today and with the development of computer technologies, traditional learning, which offers a static content for all learners, is no longer desired in learning environments. As a result, the exploitation of this development has given rise to new methods of learning. The mobile learning is one of these methods and specifically the adaptive mobile learning or context-aware mobile learning. Generally, the learning process goes through several stages; the assessment is part of this process and it is a key step in the learning activity, taking several ways. When we talk about an adaptive learning, we should think also about an adaptive assessment, where the learner can take an adaptive test content according to their context. In this paper, we present the Adaptive Formative Assessment in Context-Aware Mobile Learning (AFA-CAML) approach. The goal of this approach is to provide learners with an adaptive and personalized formative assessment taking into account the learner context based on the CAT (Computerized Adaptive Tests) theory. [ABSTRACT FROM AUTHOR]

The smart home service is a key part of the smart grid consumption. It is a real-time interactive response between the power grid and users, and enhances the comprehensive service capability of the power grid, also realizes the intelligent and interactive use of electricity, further improves the operation mode of the power grid and the users’ Use patterns to improve end-user energy efficiency. The smart home is a residential-based platform that uses IoT, computer technology, control technology, image display technology and communication technology to connect various facilities through the network to meet the automation requirements of the entire system and provide more convenient control and management. This paper analyzes the characteristics of smart home, gives the smart home composition and the application of key equipment; and smart home key technologies to illustrate the design of smart home electricity service system and related communication systems. [ABSTRACT FROM AUTHOR]

Steganography is the art of encoding/embedding secret information in cover media in such a way so as not to provoke an eavesdropper's suspicion. The primary purpose of this paper is to provide three levels of security, first is provided by complementing the secret message, second by hiding complemented secret message in cover image pixels that are selected randomly by using pseudo random number generator, third by using inverted bit LSB method 2 as stegnographic technique rather than simple LSB, thus, reduces the chance of the hidden message being detected. MSE (Mean Square Error) and PSNR (Peak Signal to Noise Ratio) are two common quality measurements to measure the difference between the cover-image and the stego-image. Results showed that the proposed method gives better results than simple LSB and inverted LSB with higher PSNR and lower MSE . [ABSTRACT FROM AUTHOR]

One of the major fundamental issues of Computer Science is arrangement of elements in the database. The efficiency of the sorting algorithms is to optimize the importance of other sorting algorithms 11 . The optimality of these sorting algorithms is judged while calculating their time and space complexities 12 . The idea behind this paper is to modify the conventional Merge Sort Algorithm and to present a new method with reduced execution time. The newly proposed algorithm is faster than the conventional Merge Sort algorithm having a time complexity of O(n log 2 n). The proposed algorithm has been tested, implemented, compared and the experimental results are promising. [ABSTRACT FROM AUTHOR]

Ternary logic has some distinct advantage over binary logic. In this paper we propose a synthesis approach for ternary reversible circuits using ternary reversible gates. Our method takes a boolean function as input. The input is provided as .pla file. The .pla file is first converted into ternary logic function, which can be represented as permutation. The gate library used for synthesis is Ternary Not, Ternary Toffoli and Ternary Toffoli + (N T ,T T ,T T + ). The proposed constructive method, generates 3-cycles from the permutation, and then each 3-cycle is mapped to (N T ,T T ,T T + ) gate library. Experimental results show that the method generates lesser number of gates for some circuits compared to previously reported works. [ABSTRACT FROM AUTHOR]

Every textbook is built upon the foundation of key concepts. Books that contain concepts that share some common properties and are semantically related are more lucid and intelligible than those that contain many unrelated concepts. These key concepts follow a certain widely used grammatical linguistic patterns. An enormous amount of information can be derived regarding these key concepts such as their dispersion across chapters and, the relationship among the concepts, etc. The relationship among key concepts can be used to evaluate the books, and draw concept graphs. Since we live in an increasingly visual society, graphic representation of the key concepts may well help readers in easily understanding textbook content.This paper describes an experiments performed on selected chapters from social science and technology textbooks. The goal of the experiments was to evaluate the effectiveness of the grammatical linguistic pattern in identifying the key concepts in these textbooks and to quantify the suitability of linguistic patterns in different fields. [ABSTRACT FROM AUTHOR]

In this paper proposed palmprint identification using Gabor features, Gabor and Wide Principal Line Image (WPLI) features. Extracted a fixed size ROI from palmprint images. Resize the extracted ROI into 64 x 64. Apply the Gabor filters to extract the features from the resized ROI. Dissimilarity distance is used to measure the dissimilarity between the query palmprint and database palmprint images. Experiments were conducted on Polyu Palmprint Database using Gabor features, Gabor and WPLI features. Experimental results shows that the proposed approach using Gabor and WPLI features obtains better results compared with the existing methods. [ABSTRACT FROM AUTHOR]

Triquetrum is an open platform for managing and executing scientific workflows that is under development as an Eclipse project. Both Triquetrum and Kepler use Ptolemy II as their execution engine. Triquetrum presents opportunities and risks for the Kepler community. The opportunities include a possibly larger community for interaction and a path for Kepler to move from Kepler's one-off ant-based build environment towards a more common OSGi-based environment and a way to maintain a stable Ptolemy II core. The risks include the fact that Triquetrum is a fork of Ptolemy II that would result in package name changes and other possible changes. In addition, Triquetrum is licensed under the Eclipse Public License v1.0, which includes a patent clause that could conflict with the University of California patent clause. This paper describes these opportunities and risks. [ABSTRACT FROM AUTHOR]

Modern web technologies facilitate the creation of high-quality data visualizations, and rich, interactive components across a wide variety of devices. Scientific workflow systems can greatly benefit from these technologies by giving scientists a better understanding of their data or model leading to new insights. While several projects have enabled web access to scientific workflow systems, they are primarily organized as a large portal server encapsulating the workflow engine. In this vision paper, we propose the design for Kepler WebView, a lightweight framework that integrates web technologies with the Kepler Scientific Workflow System. By embedding a web server in the Kepler process, Kepler WebView enables a wide variety of usage scenarios that would be difficult or impossible using the portal model. [ABSTRACT FROM AUTHOR]

Ontologies have become core components of many large applications. It's part of the Semantic Web framework. Many disciplines now develop standardized ontologies that domain experts can use to share and annotate information in their fields. Arabic is still not well supported. Designing and developing Arabic Ontologies need more than what is provided by keyword-based and more than analysing the morphology and grammar of the traditional Arabic language A few works on Arabic Semantic Web applications are derived from the traditional Arabic language and not in the specialized science. However, available search engines supporting Arabic language are typically limited to keyword searches and do not take in consideration the underlying semantics of the content. In this research, we propose a model for representing Arabic financial accounting knowledge in the Computer Technology domain using Ontologies. This paper addresses an Arabic financial ontology and presents a methodology for creating ontologies based on declarative knowledge representation systems. [ABSTRACT FROM AUTHOR]

Solving modern scientific and engineering problems typically implies using multiple task- specific software applications and often a complex sequence of computations must be performed. Adopted approach to achieve the required level of automation is to use one of the many avail- able scientific and engineering workflow systems, which can be based on different workflow models. This paper introduces a workflow model targeted to provide natural automation and distributed execution of complex iterative computation processes, where the calculation chain contains multiple task-specific software applications which exchange files during the process. The proposed workflow model addresses a wide range of applications and targets complex cases when a single iteration of a top-level process may contain multiple nested execution loops. Typ- ical requirements to process automation are considered as well: execution isolation, data re-use and caching, parallel execution, data provenance tracking. [ABSTRACT FROM AUTHOR]

Due to the advent of computer technology image-processing techniques have become increasingly important in a wide variety of applications. Image segmentation is a classic subject in the field of image processing and also is a hotspot and focus of image processing techniques. Several general-purpose algorithms and techniques have been developed for image segmentation. Since there is no general solution to the image segmentation problem, these techniques often have to be combined with domain knowledge in order to effectively solve an image segmentation problem for a problem domain. This paper presents a comparative study of the basic Block-Based image segmentation techniques. [ABSTRACT FROM AUTHOR]

With the development of computer technology, there is a tremendous increase in the growth of data. Scientists are overwhelmed with this increasing amount of data processing needs which is getting arisen from every science field. A big problem has been encountered in various fields for making the full use of these large scale data which support decision making. Data mining is the technique that can discovers new patterns from large data sets. For many years it has been studied in all kinds of application area and thus many data mining methods have been developed and applied to practice. But there was a tremendous increase in the amount of data, their computation and analyses in recent years. In such situation most classical data mining methods became out of reach in practice to handle such big data. Efficient parallel/concurrent algorithms and implementation techniques are the key to meeting the scalability and performance requirements entailed in such large scale data mining analyses. Number of parallel algorithms has been implemented by making the use of different parallelization techniques which can be listed as: threads, MPI, MapReduce, and mash-up or workflow technologies that yields different performance and usability characteristics. MPI model is found to be efficient in computing the rigorous problems, especially in simulation. But it is not easy to be used in real. MapReduce is developed from the data analysis model of the information retrieval field and is a cloud technology. Till now, several MapReduce architectures has been developed for handling the big data. The most famous is the Google. The other one having such features is Hadoop which is the most popular open source MapReduce software adopted by many huge IT companies, such as Yahoo, Facebook, eBay and so on. In this paper, we focus specifically on Hadoop and its implementation of MapReduce for analytical processing. [ABSTRACT FROM AUTHOR]

This paper is about the analysis of width effect in a narrow channel fully depleted SOI MOSFET. The effect of width variation is observed on threshold voltage of Nano structured Fully Depleted SOI MOSFET. In present analysis variation in narrow channel width and short channel length of the device reduced the threshold voltage . The channel conduction is also influence by changing the Tsi and Tox of the proposed device. The Lateral direction engineering is performed during the analysis of NSMOSFET(NanoStructured). [ABSTRACT FROM AUTHOR]

Core challenge for educating systems engineers is the need for students to have a frame of reference of practice to appreciate the theory they learn. In this paper, we report on the use of reflective practice to connect theory and practice. Since 2008, our master education mandates a special course Reflective Practice. The course gradually evolves, based on observations and feedback. Appreciation of the course is high, however, students still perceive applying of systems engineering in practice as difficult. [ABSTRACT FROM AUTHOR]

This paper presents the development of ontologies for OntoPersonaURM, an Onto logy-Based Persona -Driven U ser R equirements M odeling model, with goal of providing insights into the construction of ontologies for explicit specifications of the concept of persona in representing users’ knowledge and characteristics, and the concepts of viewpoints, goals, scenarios, tasks, and requirements for Web application domain. OntoPersonaURM is composed of three interrelated ontologies: Persona Ontology, Behavioral-GST (Behavioral- G oal- S cenario- T ask) Ontology, and Requirements Ontology. The objectives are to examine 1) how the concept of persona, in the context of the concepts of viewpoint, goal, scenario, task, and requirement, may be integrated in a unified environment and 2) how the concepts and their relationships may be specified ontologically. The explicit specifications of concepts and their relationships in the developed ontologies serve to establish a knowledge repository and foster common understanding of users’ needs and behaviors among developers and stakeholders during the requirements analysis and modeling activity. We provide a running example of a university course registration web application domain to demonstrate the OntoPersonaURM model, consisting of UML class diagrams and explicit specifications of the concepts of the ontologies in the Protégé-Frames ontology knowledge management environment. [ABSTRACT FROM AUTHOR]