bluuebunny/crossref_metadata_2025_split huggingface dataset:
Corporate Management Architectural Framework utilizing Maslow's Pyramid and Multi‐Layer Customer Value Chain Analysis
Authors: Shima Seiji , Shirasaka Seiko 
Published: December 2016

AbstractThe organization should satisfy both the corporate philosophy and employee's needs through corporate management. But there is no method to support how to combine them effectively. This paper proposes an architectural framework that can be used for managers and employees to evaluate and understand the corporate philosophy and stakeholder needs and to coordinate their differences. This corporate management framework consists of three axes; time (lifecycle) axis, spatial axis, and Maslow's hierarchy of needs axis. Each block, which is defined by three axes, has Customer Value Chain Analysis (CVCA). CVCA is a method for visualizing value exchanges among stakeholders in order to analyse existing social systems and designing new social systems. Each CVCA describes value exchanges, which are defined by the corresponding Maslow's needs. This framework identifies whether or not the corporate philosophy is able to reach the employees or customers, and whether or not the employees’ needs are conveyed to upper‐level management.
Improved RRS logical architecture using genetic algorithm
Authors: Shim Hyo‐sub , Jung Jae‐chun 
Published: December 2016

AbstractAn improved RRS (Reactor Regulating System) logic is implemented in this work using systems engineering approach along with GA (Genetic Algorithm) deemed as providing an optimal solution to a given system. The current system works desirably and has been contributed to the safe and stable NPP operation. However, during the ascent and decent section of the reactor power, the RRS output reveals a relatively high steady state error and the output also carries a considerable level of overshoot. In an attempt to consolidate conservatism and minimize the error, this research proposes applying genetic algorithm to RRS and suggests reconfiguring the system. Prior to the use of GA, reverse‐engineering is implemented to build a Simulink‐based RRS model and re‐engineering is followed to apply the GA and to produce a newly‐configured RRS generating an output that has a reduced steady state error and diminished overshoot level.
Systems Engineering Challenges in Simulation Based Aviation Training: A Few Insights
Authors: Yadav Jitender , Raizada Arvind 
Published: December 2016

AbstractSimulation based training means using simulated environment to create training lessons, more focused towards interactive learning by simulating real world scenarios. Simulation based training has been used extensively in the field of aviation for many years. Flight simulator as a product is quite complex and all the lifecycle phases such as requirements, analysis, design, development, integration, verification and validation are not very well interconnected or centralized, which adds to complexity in producing an artefact in a complex system of systems environment. Moreover, the lack of integrated method for ensuring the traceability of requirements and customization, acquisition of knowledge and data, integration and changes in hardware, and the design and testing of software creates massive challenges for simulation companies developing system of systems products. The current paper provides insights into such challenges that typically exist in the Flight Simulation industry. Methods and techniques inspired from the Knowledge Based Engineering (KBE) and Model Based Systems Engineering (MBSE) aspects of Systems Engineering are proposed to evolve existing Systems Engineering practices for more efficient Requirements Management, Interface & Change propagation management and Hardware and Software integration solutions. Towards the end, results of an industry‐wide survey have been summarized, which was initiated to gather feedback from industry experts on various systems engineering practices challenges.
Service Scheduling Using an Agent Based Model with GIS Integration
Authors: Jayawant Yatin Anil , Joshi Nikhil , Vyawahare Sneha 
Published: December 2016

AbstractIn agricultural system, to efficiently utilize costly equipment (combine, tractor, etc.), owners rent them out to farmers. The service (harvesting, ploughing, etc.) has to be provided within a particular time window. So, it's important to optimize the scheduling of the service requests to maximize the revenue while reducing costs resulting from inefficient operations, e.g. field to field travel. In this context complexities like road traffic, field geometry make it difficult to apply formulations such as Travelling Salesman Problem (TSP) or Vehicle Routing Problem (VRP). This paper presents an Agent Based simulation model of the system. Geographic Information System (GIS) is employed to provide information about the context such as field coordinates and boundary, routes for field to field travel, etc. Agricultural equipment is an agent moving from field to field, and working on the field in predefined in‐field path. Schedules for a day are compared using simulation model on basis of total profit.
Model Based Self‐Learning System Engineering Approach
Authors: Singla Abneesh , Nathan Visvanathan Thanigai , Vageesh S 
Published: December 2016

AbstractSystem requirements engineering is relatively matured discipline with many trusted and dependable methods and techniques that fairly helps in identifying, analyzing, specifying, managing, verifying, and validating the system requirements. Yet the major challenge perceived in system engineering and development of software that is persisting over many years and pervasive across all domains is the requirements development, analysis, management, and validation. Still there are projects attributing to the defects in system requirements as the prime cause of its failure. Is a radical change to the current approach and techniques is essential or is it that we are not able to put the best practices designed into good use or both? Is there something else amiss that is not proportioned into these methods or tools and needs to be accounted into it? Several approaches attempt to increase the standardized portion by making it more objective and diminish the subjective substance. Towards this objective numerous tools and models were evolved over past several years aiming to standardize the requirements acquisition practice through various instruments like a questionnaire, design of use‐cases or models that consumes inputs from every stakeholder and use a standard template that brings in objectivity eliminating the ambiguity. These models are as intelligent as per the capabilities of the templates or the outlines created and matures per their exposure levels to the scenarios. They concentrates more on the methodology, patterns or blueprint to capture different characteristics and properties associated to the product in the requirements and the domain perspective is less deliberated. Domain viewpoint is of utmost importance to ensure the functioning of the product in the required environment and ambiance with required performance criteria that is suitable to the product. The “Domain Driven Design” is yet another approach to capture the requirements, develop and maintain it. A study of these three different approaches from the existing literature is done in this paper bringing out their prominent features, advantages and shortcomings. The proposed model delves deep into augment the domain facets of the products to ensure the definition of requirements are comprehensive and all‐inclusive to facilitate the flawless development and complete testing by reducing the ambiguity and enhancing the clarity. It also targets to produce all relevant artifacts like use cases, test scenarios, documentation etcetera. Collation and embedding of the precious and adept data from the experienced system engineers is one of the best features of the suggested model.
A model based system engineering approach to design Avionics systems: Present and Future prospect
Authors: Chakraborty Sandeep , Kashyap Kunal , Shukla Bal Krishna 
Published: December 2016

AbstractSystem complexity in Defense and Aerospace Industry is increasing day by day. Conventional System Engineering is document centric. Text based documents describe system specification, store the records, describe concept of operations and interfaces etc. There are numerous design challenges faced by system engineer while working on text based requirements. Programs are prone to errors during Requirements Definition phase. Also as designs grow and change, maintaining documents becomes an uphill task. Model based approach in System Engineering has ability to detect defect at much more early stage than conventional text based method. Model Based Systems Engineering (MBSE) uses various block diagrams, state machines, mathematical equations, functional flow diagrams, object‐oriented models which help to understand the Data flow between various subsystems. This paper explains the advantages of model based system engineering over conventional text based approach, a seamless transition strategy from Document‐based to model‐based approach and its various applications in defense and Aerospace domain with future prospect.
A Configurable Simulation Framework to Aid the System Design of Precision Landing and Take‐Off System for High Performance Flying Vehicle
Authors: Chowhan Kishan Singh 
Published: December 2016

AbstractFlight simulation has proved to be a very important and vital tool in the Aircraft Industry today. It can be employed for the evolution of Aircraft Systems and for Proving Design Concepts. Engineering Simulations are used as design aids for a planned aircraft program and these are used to evaluate the aircraft systems and to improve, validate their designs. The mathematical models of the aircraft or the flying vehicle platform and its systems play very significant role in the Engineering simulation framework.An Engineering simulation framework has been developed to include a flying vehicle platform, Navigation system and Ground based sensor systems to aid the precision take‐off and landing in all weather conditions. Precise Simulation models of Navigation system including its inherent errors on board the flying vehicle; various ground based sensors based on their accuracy, performance have been added to the Engineering Framework to aid the system design of a comprehensive precision Take‐off and Landing system. The simulation framework allows the system engineer to study the variation of the accuracies of sensor characteristics and their effects on the performance of the system before finalizing the elements of the Precision Landing and Take‐off (PLTO) System.
An Approach to Develop a Remotely Operated Integrated Avionics Test Suit
Authors: Madhava Gadicherla , Mohan Talapureddi Murali , Chakraborty Sandeep , Nama Naveen 
Published: December 2016

AbstractIntegration testing and functional validation & verification are few of the key phases of Aircraft Development Life Cycle. This is performed by integrating the avionic system on complex dynamic test platforms in a controlled lab environment. The avionic systems are in general, composed of a combination of multiple LRUs (Line Replaceable Units) / LRMs (Line Replaceable Modules). Test platforms referred to as Integrated test benches (ITB) comprise of dynamic aircraft simulation models running on multiple host computers, IO servers, breakouts, power supply control units and internal airflow management modules for avionics cooling. This paper proposes a means of making the Integration Test Benches remotely available across multiple locations seamlessly, without incurring substantial cost, thereby eliminating the need for building and maintaining the test benches at multiple locations. This approach explores a novel technique that can be leveraged to make a single bench accessible globally within the organization by leveraging various concepts of IOT (Internet of things) and cloud technology.
Design of a Student Satellite‐ PISAT
Authors: Agarwal Gaurav , Kumar Ajay , Nayak Mahendra M , Agarwal V K 
Published: December 2016

AbstractPISAT is imaging satellite being developed by students from consortium of engineering colleges led by PES University. PES Imaging Satellite (PISAT) is a Low cost three axis stabilized imaging satellite with pointing accuracy of ±5 degrees about Yaw, Roll and Pitch axis and body rates of ±0.05 degrees/sec. It will be placed at an altitude of 720 kilometres with an inclination of 97.886 degrees and in Polar sun synchronous orbit. The principal objective of satellite telemetry is to provide mission data as well as information for operational use, failure analysis, and to predict spacecraft performance. The aim of the mission is operationalization of 3‐axis stabilized spacecraft, to capture images and process it. PISAT is designed to receive S‐band FSK/FM modulated signal, demodulate and extract the commands sent from ground. System engineering concepts have been extensively used in the development of PISAT and students have benefited in getting good hands on experience on system engineering.
Development of CanSat
Authors: S Sharath Kumar , K Adithya , A B Ranjith Srinivas , Rao Sharath 
Published: December 2016

AbstractA CanSat is a simulation of a real satellite, integrated within the volume and shape of a cylindrical structure. The challenge is to fit all the major subsystems found in a satellite, such as power, sensors and a communication system into this minimal volume. The CanSat is then launched to an altitude of few hundred meters by a rocket or dropped from a platform or captive balloon and its mission begins: To carry out a scientific experiment and achieve a safe landing. CanSat is composed of a Carrier and a Lander. Carrier's objective is to measure and transmit variation in Hydrogen gas concentration; change in temperature; altitude by non GPS system; GPS coordinates during its descent. Release of Lander from Carrier at an altitude of 150 m from ground, imaging in the nadir direction is the Lander's mission.
Micro Unmanned Aerial Mission Systems: An SE / Model Based Design Framework and Approach to MICAV 2014
Authors: Burman Abhishek , Ghosh Arnab , Aravindh A V , Ramanna Rahul , C Chinmaya , Koli Nilesh Uttam , Nandhuri Anil , B Ram Kumar , M Supriya G 
Published: December 2016

AbstractThis paper presents a Systems Engineering [SE] approach for the Design and Development [D&D] of Unmanned Mission Systems built around Mini / Micro Aerial Vehicles [M‐UAV / MAV]. Life‐cycle concepts and issues are addressed with emphasis on the usage of automation and matrix methods in the fuzzy front‐end of design. An automated model‐based design framework to systematically explore a large design space is presented in the main paper. Typical problems associated with MAV design, such as sizing and selection of components based on minimal and often‐incomplete information, means to navigate D&D pitfalls and Systems Integration [SI] challenges are qualitatively addressed in the process. Region‐specific issues that are often encountered in the Indian developmental context are also included. The team's approach to MICAV 2014, a National MAV Design Competition jointly organized by CSIR‐NAL and DRDO‐ADE which had been used to fine‐tune the Design Framework post‐competition, is used to illustrate case‐examples.
Joint Road Forward: a new set of tools for including excluded perspectives on transport infrastructure
Authors: Krishna Harsha , Frank Andreas , Palavalli Bharath M. , Meijer Sebastian , Subrahmanian Eswaran 
Published: December 2016

AbstractPlanning of transportation infrastructure is built upon an established set of planning methods to estimate the need for and specifications of roads, amongst others. The abstraction from the real world as needed for applying clear planning tools has grown to considerably differ from the complex urban fabric of activities underlying the transport demand, such as food distribution, commercial activities, education networks, health, etc, especially in busy metropolitan areas. Inclusion of new parameters and use cases in design poses new methodological challenges. The socio‐cultural context of urban areas provides for meaningful explanations for the use of urban infrastructure. The cultural context determines the expectations placed on the infrastructure by the people. For example, accessibility for the elderly and children, security and availability.Rapid urbanisation and increased economic inequality in cities has provided additional parameters to understand the longevity and contribution of transport infrastructure. The use of new methods such as the availability of real time data, sensor based data and additional social network analytical methods can provide new insights to understand the needs of the urban masses. Transport infrastructure needs to cater to local needs and become part of a larger ecosystem of a city. In this work we outline a new methodology to use games and simulations based upon city sensing to include stakeholders ignored by the traditional planning processes.
System Identification & Modelling of GMRT (Giant Meter Wave Radio Telescope)
Authors: Gupta Nandini , Andrew Geetha , Jain Monika R. , Balakrishna Hari , Sanadhya Vivek , Mayya Y.S. 
Published: December 2016

AbstractGMRT is a unique Indian facility for radio astronomical research to support precision tracking of celestial objects. Currently a type II position servo at GMRT provides ∼1 arc min tracking accuracy. The tracking accuracy deteriorates in the presence of wind gusts. To improve the tracking accuracy, it is proposed to upgrade GMRT servo system with modern high performance controllers, e.g., a Linear Quadratic Gaussian (LQG) controller. However, in order to design a LQG controller, accurate telescope model is required which can be obtained through an experimental approach based on response measurements (System Identification). This paper presents the experimental setup, test conditions and results of system identification experiments carried out for the Elevation axis of one of the telescopes of GMRT. The model was then validated through simulation experiments. The response of the identified system closely matches that of the physical telescope, setting the stage for designing an optimum controller for GMRT.
Subspace‐based Wavelet preprocessed Data‐driven Predictive Control
Authors: Vajpayee Vineet , Mukhopadhyay Siddhartha , Tiwari Akhilanand Pati 
Published: December 2016

AbstractThis paper introduces a methodology for designing a subspace‐based data‐driven predictive control with wavelet preprocessing. In a data‐driven control, especially when SNR is low, it becomes difficult to obtain reliable predictor coefficients. Therefore, it is imperative to have a processed and informative dataset for stable controller operation. Wavelet being capable of better noise rejection from process dynamics motivates to perform wavelet filtering before designing the control law. Methodology for deriving the predictor from subspace matrices of processed data is presented. A predictive controller, estimated from the dataset, is designed for power control of a nuclear reactor core for a load‐following operation. The efficacy of the proposed technique is demonstrated by Monte Carlo simulations in stationary as well as non‐stationary noise cases.
Application of Systems Engineering on Moreelsebrug: A case study
Authors: Beg Saania , Perez Jorge Cinca , Mustafa Jadallah Haj 
Published: December 2016

AbstractThe increasing rural‐urban migration as well as industrialization and urbanization in the city of Utrecht, Netherlands, has led to overcrowding of the cities. The Moreelse Brug is an under‐construction bridge to aid this problem of crossing over the railway tracks to reach the other side of the city. In this article, we are applying systems engineering to our system of interest: Moreelsebrug and we shall perform various analysis for the same. The V‐model of systems engineering is the backdrop of our approach to apply systems engineering on Moreelseburg and hence, various analysis like environmental, stakeholder and risk were carried out. Functional requirements and Concept of Operations are also thoroughly considered as part of the system architecture. Taking into account the basic idea of systems engineering can help in the enhancement of the bridge's usefulness and ensure improved reliability and long term efficiency.
Raman micro‐spectroscopy applied to treatment resistant and sensitive human ovarian cancer cells
Authors: Moradi Hamid , Ahmad Abrar , Shepherdson Dean , Vuong Nhung H. , Niedbala Gosia , Eapen Libni , Vanderhyden Barbara , Nyiri Balazs , Murugkar Sangeeta 
Published: December 2016

Despite the many advances intended to enhance the response to treatment, the survival rate of patients with ovarian cancer has only marginally improved in the past few decades. One major cause for this, is the lack of diagnostics for platinum‐resistant disease. The goal of this study was to determine whether Raman micro‐spectroscopy in conjunction with multivariate statistical analysis could discriminate between chemically fixed cisplatin‐resistant (A2780cp) and cisplatin‐sensitive (A2780s) human ovarian carcinoma cells. Raman spectra collected from individual cells were pre‐processed and subsequently analyzed with Principal Component Analysis – Linear Discriminant Analysis (PCA‐LDA). Statistically significant differences (P < 0.0001) were observed between the Raman spectra of A2780s and A2780cp cells. A diagnostic accuracy of 82% was obtained using the PCA‐LDA classifier model for the discrimination between the A2780s and A2780cp cells. The loading plot analysis suggests that relative increases in proteins and glutathione in the cisplatin‐resistant cells compared to the cisplatin‐sensitive cells
are most likely the major source of discrimination between the two types of cells. These results support the potential application of Raman spectroscopy in the identification of chemo‐resistant tumors prior to treatment.magnified imageare most likely the major source of discrimination between the two types of cells. These results support the potential application of Raman spectroscopy in the identification of chemo‐resistant tumors prior to treatment.
A useful way to develop effective in vivo skin optical clearing agents
Authors: Shi Rui , Guo Li , Zhang Chao , Feng Wei , Li Peng , Ding Zhihua , Zhu Dan 
Published: December 2016

Skin optical clearing has shown tremendous potential in improving various optical imaging performances, but there is some certain blindness in screening out high‐efficiency in vivo optical clearing methods. In this work, three optical clearing agents: sucrose (Suc), fructose (Fruc) and PEG‐400 (PEG), and two chemical penetration enhancers: propylene glycol (PG) and thiazone (Thiaz) were used. PEG was firstly mixed with the two penetration enhancers, respectively, and then mixed with Fruc and Suc, respectively, to obtain six kinds of skin optical clearing agents (SOCAs). Optical coherence tomography angiography was applied to monitor SOCAs‐induced changes in imaging performances, skin optical properties, refractive index mismatching extent, and permeability rate. Experimental results demonstrated that PEG+Thiaz+Suc has the optimal capacity in enhancing the imaging performances, decreasing the scattering and the refractive index mismatching since Thiaz is superior to PG, and Suc is superior to Fruc. This study indicates that the optimal SOCA can be obtained directly by means of additionally adding or replacing the similar category substance in preexisting SOCAs with some more effective reagents. It not only provides an optimal SOCA, but also provides a useful way to develop more effective SOCAs.
Cross‐section skin structural texture (a), reconstructed blood flow distribution information (b), before or after treated with different SOCAs.magnified imageCross‐section skin structural texture (a), reconstructed blood flow distribution information (b), before or after treated with different SOCAs.