Since passenger flow organization plays an important role in maintaining a satisfying level of service (LOS) at metro stations under normal and extreme situations, developing methods to model pedestrian behavior and evaluate passenger flow management could benefit both transit users and operators. However, such analysis has been recognized as being extremely difficult due to many factors, including human factors and passenger flows, 1 limiting our capacity to better design station layout and evacuation strategies correspondingly. Thus, emergency management (e.g., evacuation and rescue of passengers) in crowded metro stations should be investigated carefully, especially under circumstances such as fire outbreaks or terrorist attacks. Because of limited land available in city centers, business districts, and large residential areas, metro stations are built larger and deeper, incurring massive passenger volume and high-density flows, in particular during rush hours. Successfully applied to case studies of three major metro stations in Shenzhen China, this methodology is demonstrated to be capable of evaluating passenger flow organization through visual and quantitative analyses for improving facility layout design.Īs a critical component of the metro system, metro stations provide the boarding, alighting, and transfer services for metro passengers. Focusing on the technical implementation of the method, we discuss in detail (1) finely resolved pedestrian simulation using AnyLogic (2) bookkeeping of spatial positions of agents at the specific temporal intervals in XML format and (3) interactive photo-realistic 3D visualization of pedestrian movements using UC-win/Road through its micro-simulation player plug-in, OpenMicroSim. Simulation results are then imported into a 3D VR environment for the assessment of passenger flow organization and its interactions with facility layout. Passenger flow movements, with detailed spatial–temporal information of each agent, are modeled using agent-based micro-simulation. This research proposes a high-fidelity simulation method that integrates the strengths of microscopic pedestrian modeling and three-dimensional (3D) virtual reality (VR) for the evaluation of passenger flow organization and facility layout at metro stations. All subjects Allied Health Cardiology & Cardiovascular Medicine Dentistry Emergency Medicine & Critical Care Endocrinology & Metabolism Environmental Science General Medicine Geriatrics Infectious Diseases Medico-legal Neurology Nursing Nutrition Obstetrics & Gynecology Oncology Orthopaedics & Sports Medicine Otolaryngology Palliative Medicine & Chronic Care Pediatrics Pharmacology & Toxicology Psychiatry & Psychology Public Health Pulmonary & Respiratory Medicine Radiology Research Methods & Evaluation Rheumatology Surgery Tropical Medicine Veterinary Medicine Cell Biology Clinical Biochemistry Environmental Science Life Sciences Neuroscience Pharmacology & Toxicology Biomedical Engineering Engineering & Computing Environmental Engineering Materials Science Anthropology & Archaeology Communication & Media Studies Criminology & Criminal Justice Cultural Studies Economics & Development Education Environmental Studies Ethnic Studies Family Studies Gender Studies Geography Gerontology & Aging Group Studies History Information Science Interpersonal Violence Language & Linguistics Law Management & Organization Studies Marketing & Hospitality Music Peace Studies & Conflict Resolution Philosophy Politics & International Relations Psychoanalysis Psychology & Counseling Public Administration Regional Studies Religion Research Methods & Evaluation Science & Society Studies Social Work & Social Policy Sociology Special Education Urban Studies & Planning BROWSE JOURNALS
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Indeed, it has become a field that focuses its efforts on the consistency and resilience of systems.Ī relatively new approach in the scope of SRE used to test the resiliency of distributed systems has recently emerged, known as Chaos Engineering (CE). Additionally, cybersecurity has also been considered a field of knowledge that goes beyond the validation of identity, protection of access, and monitorization of actions. In fact, different efforts have been made to contribute in such ways, for example, to protect persons against online sex offenders, to defend IoT devices from attacks against data or services, to make smart cities’ infrastructure more resilient, to implement cybersecurity in distributed organizations, and to support LEA’s (Law Enforcement Agencies) in the detection of malware or in the prevention of cybercrimes. To this extent, cybersecurity aims to protect data and technological infrastructure in different spheres, e.g., personal, familiar, business, and social. Protecting Information and Communication Technology (ICT) assets against potential threats is nowadays essential, especially with the advent of industry 4.0 and the consequent revolution. Finally, different experiments are described and executed to validate the feasibility of ChaosXploit in terms of auditing the security of cloud-managed services, i.e., Amazon buckets, which may be prone to misconfigurations and, consequently, targeted by potential cyberattacks. The use of ChaosXploit may be part of a defensive security strategy to detect and correct software misconfigurations at an early stage. As an extension of a previous work, this paper presents ChaosXploit, an SCE-powered framework that employs a knowledge database, composed of attack trees, to expose vulnerabilities that exist in a software solution that has been previously defined as a target. In this sense, Security Chaos Engineering (SCE) becomes an innovative methodology based on the definition of a steady state, a hypothesis, experiments, and metrics, which allow to identify failing components and ultimately protect assets under cyber risk scenarios. As traditional methods may not be efficient in detecting those security assumptions, novel alternatives must be attempted. Protection of software is an endless labor that includes the improvement of security controls but also the understanding of the sources that induce incidents, which in many cases are due to bad implementation or assumptions of controls. Software is behind the technological solutions that deliver many services to our society, which means that software security should not be considered a desirable feature anymore but more of a necessity. 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Salary range for Amazon India Employees - L6 manager - Senior Program Manager ₹27,90,104 per year - ₹35,27,276 per year L7 and L8 - Senior Product Manager Ranges from ₹3.69M - To ₹5.83M Answer credit: Samrudh Jahagirdar Anonymous 2 y Related What is the salary of Amazon director-level employees? I was an L8 Director. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. The average Senior Technical Product Manager salary in the United States is $162,539 as of, but the salary range typically falls between $148,738 and $186,420. Sr Product Manager Tech - Music, Amazon Music - LinkedIn. Get email updates for new Senior Technical. Amazon SES is part of AWS offering and is a highly-scalable service designed to enable businesses to run targeted campaigns to drive user engagement through email. Amazon SES is recruiting a Senior Tech Product Manager who will be responsible for leading the SES product development in Dublin. Senior Product Manager, Job Location: Bangalore Job Description: SkillSet: marketing, " product management", " product development", delivery, sales. Search Jobs (You can use OR AND NOT between keywords) x Share Job. I own the product and program charter to deliver scalable solutions to reduce return losses in. Returns Fraud for high value items- Driving the vision for building an end to end secure returns network rooted in traceability and transparency. Amazon Product Manager Salaries | $172K-$666K. Senior Program Manager (Product Security) $147,835: $147,835: Link: Expedia: Senior. What should your Salary as a Program Manager be and what are the subtle differences between a Program Manager, Senior Program Manager, Technical Program Manager, Lead Program Manager, and a Principal Program Manager. Average Amazon Senior Product Manager - Technical salary is $129,078 Detailed Amazon Senior Product Manager - Technical starting salary, median salary, pay scale, bonus data report ranked by, page 5. 103 Amazon Senior Product Manager - Technical salary data. Senior Product Manager Technical.Īmazon is building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and. While ZipRecruiter is seeing annual salaries as high as $244,000 and as low as $101,000, the majority of Senior Technical Program Manager salaries currently range between $131,500 (25th percentile) to $179,500 (75th percentile) with top earners (90th percentile) making $226,500 annually across the United States. The role of a TPM is one that will continue to grow. Interview: Amazon Senior Product Manager Technical (AMXL team) Many people want to break into technical program management. Did you get a job offer and you want to maximize the compensation that you are being offered? If so, then you have 2 main ways. The estimated additional pay is $86,381 per year. The estimated base pay is $150,752 per year. This number represents the median, which is the midpoint of the ranges from our proprietary Total Pay Estimate model and based on salaries collected from our users. The estimated total pay for a Technical Product Manager at Amazon is $237,133 per year. Program Manager Salaries | $145K-$180K+ | L.Īmazon Senior Product Manager Technical Products. Amazon hiring Senior Tech Product Manager in Dublin, County Dublin.
International Journal of Intellectual Property Management. Inderscience Publishers - linking academia, business and industry through research A sensitivity analysis is also performed, studying the case of a new entry for a pay TV operator in the local market, which may gain a significant percentage of customers. Results indicate that investing on cloud TV technology in Greece is feasible for the technologies of OTT, IPTV and smart TV. The adopted methodology includes demand forecasting, cash flows calculations and important economic indicators, such as net present value (NPV) and internal rate of return (IRR), for a time period of ten years, under different diffusion scenarios for the region of Greece. In this context, the aim of this paper is to perform a techno-economic analysis in order to provide an assessment of the required investment for a new pay TV operator, using cloud TV technology in the internet of things (IoT) era. Since the number of cloud TV channels continuously increase, there is a crucial need for a techno-economic evaluation and analysis in terms of future investments in this area. Article: The cloud TV emerging challenge: forecasting and investment analysis Journal: International Journal of Intellectual Property Management (IJIPM) 2021 Vol.11 No.4 pp.371 - 392 Abstract: Cloud TV will play an important role in future pay-TV services and is quickly becoming the next arena for TV content providers. |