Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- RFID (6)
- Business process (3)
- ERP (2)
- Forecasting and Time Series (2)
- Lab (2)
-
- Agility (1)
- Approximation theory (1)
- Architecture Arts and Humanities Business Education Engineering Law Life Sciences Medicine and Health Sciences Physical Sciences and Mathematics Social and Behavioral Sciences (1)
- Bayesian Model Averaging and Semiparametric Regression (1)
- Bayesian Model Selection (1)
- Business Process (1)
- Business intelligence (1)
- Campus Security (1)
- Community (1)
- Community Resiliency (1)
- Computer Security (1)
- Copula Modeling (1)
- Covariance Selection (1)
- Critical Infrastructure Assurance (1)
- Critical Infrastructure Protection (1)
- D-vine (1)
- Data structures (1)
- Design Theory (1)
- Disaster Evacuation Response (1)
- Education (1)
- Era2015 (1)
- GIS (1)
- GPS (1)
- Goodness of Fit (1)
- Hardened Facilities (1)
Articles 1 - 16 of 16
Full-Text Articles in Physical Sciences and Mathematics
On-Line Discovery Of Hot Motion Paths, Dimitris Sacharidis, Kostas Patroumpas, Manolis Terrovitis, Verena Kantere, Michalis Potamias, Kyriakos Mouratidis, Timos Sellis
On-Line Discovery Of Hot Motion Paths, Dimitris Sacharidis, Kostas Patroumpas, Manolis Terrovitis, Verena Kantere, Michalis Potamias, Kyriakos Mouratidis, Timos Sellis
Kyriakos MOURATIDIS
We consider an environment of numerous moving objects, equipped with location-sensing devices and capable of communicating with a central coordinator. In this setting, we investigate the problem of maintaining hot motion paths, i.e., routes frequently followed by multiple objects over the recent past. Motion paths approximate portions of objects' movement within a tolerance margin that depends on the uncertainty inherent in positional measurements. Discovery of hot motion paths is important to applications requiring classification/profiling based on monitored movement patterns, such as targeted advertising, resource allocation, etc. To achieve this goal, we delegate part of the path extraction process to objects, …
Modeling Longitudinal Data Using A Pair-Copula Decomposition Of Serial Dependence, Michael S. Smith, Aleksey Min, Carlos Almeida, Claudia Czado
Modeling Longitudinal Data Using A Pair-Copula Decomposition Of Serial Dependence, Michael S. Smith, Aleksey Min, Carlos Almeida, Claudia Czado
Michael Stanley Smith
Copulas have proven to be very successful tools for the flexible modelling of cross-sectional dependence. In this paper we express the dependence structure of continuous-valued time series data using a sequence of bivariate copulas. This corresponds to a type of decomposition recently called a ‘vine’ in the graphical models literature, where each copula is entitled a ‘pair-copula’. We propose a Bayesian approach for the estimation of this dependence structure for longitudinal data. Bayesian selection ideas are used to identify any independence pair-copulas, with the end result being a parsimonious representation of a time-inhomogeneous Markov process of varying order. Estimates are …
Product Quality, Perceived Price And Product Features Analysis And Their Influences To Brand Image And Consumer Satisfaction
Benjamin L. Harwood
Homa Posniroha Harahap, 2010; Product Quality, Perceived Price and Product Features Analysis and Their Influences to Brand Image and Consumer Satisfaction. Counsellor ; DR. Mohamad Rizan, SE., MM. Generally, the purpose of the research are: 1) Analyzing product quality, perceived price and product features and their influences to brand image and consumer satisfaction, 2) Testing hypothesis on relationship between product quality, perceived price and product features and their influences to brand image and consumer satisfaction,3) Testing hypothesis product quality, perceived price, product features and their direct influences or through brand image to consumer satisfaction. Unit of analysis are mobile phone …
Campaspe And Murray Shires Infrastructure Gap Analysis Report, Nadine E. White, Jeremy Buultjens, Rose Wright, Meredith Lawrence
Campaspe And Murray Shires Infrastructure Gap Analysis Report, Nadine E. White, Jeremy Buultjens, Rose Wright, Meredith Lawrence
Nadine E White
No abstract provided.
Proceedings Of The 2009 Nrc Federal Facilities Council/James Madison University Symposium On Protecting Large Facility Complexes;, George H. Baker, Cheryl E. Wilkins
Proceedings Of The 2009 Nrc Federal Facilities Council/James Madison University Symposium On Protecting Large Facility Complexes;, George H. Baker, Cheryl E. Wilkins
George H Baker
Large, complex facilities pose unique protection challenges involving multidisciplinary expertise and collaboration among government, academia, and the private sector. The symposium served as a forum for sharing experiences in dealing with large facility catastrophic events and risk management. The symposium was organized based on the value of interaction among different people representing diverse disciplines. In many instances, such interactions lead to solutions that would not have been developed within disciplinary stovepipes. The venue was divided into three panels addressing physical security, cyber security, and real facility case studies. We were also privileged to have three keynote speakers including Dr. Charles …
Rfid-Enabled Warehouse Process Optimization In The Tpl Industry, S. F. Wamba, A. T. Chatfield
Rfid-Enabled Warehouse Process Optimization In The Tpl Industry, S. F. Wamba, A. T. Chatfield
Dr Samuel Fosso Wamba
Using the value chain model and a longitudinal real-world case study of a third-party logistics (TPL) supply chain, this study provides support for the enabling role of RFID technology in effecting warehouse process optimization. Furthermore, the findings of our study reveal the RFID technology implementation costs as the key inhibitors factor of RFID widespread adoption and usage among suppliers.
Rfid-Enabled Inventory Control Optimization: A Proof Of Concept In A Small-To-Medium Retailer, H. Dane, Katina Michael, S. F. Wamba
Rfid-Enabled Inventory Control Optimization: A Proof Of Concept In A Small-To-Medium Retailer, H. Dane, Katina Michael, S. F. Wamba
Dr Samuel Fosso Wamba
This study examines the impact of radio-frequency identification (RFID) technology on the inventory control practices of a small-to-medium retailer using a proof of concept (PoC) approach. The exploratory study was conducted using a single case study of a hardware retailer stocking 5000 product lines provided by 110 active suppliers. To analyze the present mode of operation, procedural documents, semi-structured interviews and a participant observation was conducted. The basis for the proof of concept was a future mode of operation using a quasi-experimental design. Results indicate that in a small-to-medium retail environment, RFID technology could act as a loss prevention mechanism, …
Rfid-Enabled Warehouse Optimization: Lessons From Early Adopters In The 3pl Industry, S. F. Wamba, T. R. Coltman, Katina Michael
Rfid-Enabled Warehouse Optimization: Lessons From Early Adopters In The 3pl Industry, S. F. Wamba, T. R. Coltman, Katina Michael
Dr Samuel Fosso Wamba
This paper presents the impact of RFID technology on the picking and shipping processes of one RFID-enabled warehouse in the 3PL industry. The findings from our study confirm initial results from many studies where RFID implementation has been shown to enable business process redesign, improve data quality, real-time data collection and synchronization and enhance system integration. In this study we show that the full potential of RFID technology is dependent upon the involvement of all supply chain members involved in implementation. Moreover, firms considering implementing RFID technology need to take into account their investment in complementary assets such as employee …
Understanding The Impact Of Emerging Technologies On Process Optimization: The Case Of Rfid Technology, S. F. Wamba, Y. Bendavid
Understanding The Impact Of Emerging Technologies On Process Optimization: The Case Of Rfid Technology, S. F. Wamba, Y. Bendavid
Dr Samuel Fosso Wamba
This paper examines the case of one supply chain in the electricity sector where RFID technology integrated with firm’s information systems acts as an enabler of process optimization. Using a business process approach and laboratory simulation, we explain how the implementation of RFID technology can increase the visibility of information at various layers of the supply chain, allowing members to gather precise information on real demand and improve replenishment processes. On the other hand, while RFID technology has the potential to automate some processes, human intervention is still required. Therefore, use case scenarios and sensitivity analysis should be carefully considered …
Determinants Of The Adoption Of Customer-Oriented Mobile Commerce Initiatives, Léger Pierre-Majorique, Luc Cassivi, S. F. Wamba
Determinants Of The Adoption Of Customer-Oriented Mobile Commerce Initiatives, Léger Pierre-Majorique, Luc Cassivi, S. F. Wamba
Dr Samuel Fosso Wamba
This paper investigates organizations implementing mobile commerce initiatives. Mobile commerce (m-commerce) is defined as the wireless B2B and B2C exchange of operational and financial data within a supply chain. Based on a survey conducted with 159 Canadian and Scandinavian executive managers, this paper tests several theoretical determinants of customer-oriented m-commerce initiatives. Results indicate that i) the adoption of electronic commerce is a strong determinant for the adoption of m-commerce initiatives, ii) software firms are more inclined to adopt m-commerce initiatives, iii) firm size does not influence the adoption of mobile commerce, and iv) contrary to expectations, firms focusing on B2C …
An Information System Design Theory For And Rfid University-Based Laboratory, S. F. Wamba, Katina Michael
An Information System Design Theory For And Rfid University-Based Laboratory, S. F. Wamba, Katina Michael
Dr Samuel Fosso Wamba
RFID technology is defined as a wireless automatic identification and data capture (AIDC) technology and is considered as “the next big thing” in the management and “the next revolution in supply chain”. Recently, the topic has attracted the interest of the industrial community as well as the scientific community. Following this tendency, this paper applies an Information Systems Design Theory (ISDT) for an RFID-based University Laboratory. For practitioners, the paper provides some insights into the set-up and use of RFID laboratory in university settings, and at the same time, it offers a set of hypotheses that can be empirically tested.
From Automatic Identification And Data Capture (Aidc) To “Smart Business Process”: Preparing For A Pilot Integrating Rfid, S. F. Wamba, E. Lefebvre, Y. Bendavid, L.. A. Lefebvre
From Automatic Identification And Data Capture (Aidc) To “Smart Business Process”: Preparing For A Pilot Integrating Rfid, S. F. Wamba, E. Lefebvre, Y. Bendavid, L.. A. Lefebvre
Dr Samuel Fosso Wamba
This paper examines the underlying logic behind the rules configured in a RFID middleware to support “smart business processes” in one retail supply chain. Through a detailed investigation of the underlying business processes, we will demonstrate how businesses rules can be defined, configured and refined in a RFID middleware. The results confirm that RFID technology is not a “Plug and Play” solution. RFID middleware configuration will require a high level of customization. Finally, this study allows the improvement of our understanding of the real potential of RFID technology in the supply chain context.
E-Government Challenge In Disaster Evacuation Response: The Role Of Rfid Technology In Building Safe And Secure Local Communities, A. Chatfield, S. F. Wamba, T. Hirokazu
E-Government Challenge In Disaster Evacuation Response: The Role Of Rfid Technology In Building Safe And Secure Local Communities, A. Chatfield, S. F. Wamba, T. Hirokazu
Dr Samuel Fosso Wamba
While geographic information systems (GIS) can provide information on the static locations of critical infrastructure and evacuation routes, they do not provide the dynamically changing locations of things and people on the move. In contrast, radio frequency identification (RFID) wireless network technology can automatically identify and track the movement of assets (i.e., fire engines, ambulances, and rescue workers) and vulnerable citizens on the move (i.e., the elderly and the disabled), and hence providing local governments and communities with real-time information and enhanced decision-making capabilities, during chaotic disaster response operations (i.e., evacuation). Although the potential high impact and strategic value of …
Unpacking The Rfid Investment Decision, Byron W. Keating, Tim R. Coltman, Samuel Fosso Wamba, Valerie Baker
Unpacking The Rfid Investment Decision, Byron W. Keating, Tim R. Coltman, Samuel Fosso Wamba, Valerie Baker
Dr Samuel Fosso Wamba
Mandates aside, there are many reasons why firms decide to move forward with or delay investment in RFID technology. In this paper we use a theoretically based, easy to implement methodology to empirically derive a relative importance scale of those factors that influence the decision to invest in RFID technology. More specifically, we compare the factors that matter most and least to a sample of firms that have adopted RFID technology with a sample of firms that have yet to embrace RFID technology. The theoretical and practical implications are that both RFID adopters and non adopters are driven by the …
Bayesian Inference For A Periodic Stochastic Volatility Model Of Intraday Electricity Prices, Michael S. Smith
Bayesian Inference For A Periodic Stochastic Volatility Model Of Intraday Electricity Prices, Michael S. Smith
Michael Stanley Smith
The Gaussian stochastic volatility model is extended to allow for periodic autoregressions (PAR) in both the level and log-volatility process. Each PAR is represented as a first order vector autoregression for a longitudinal vector of length equal to the period. The periodic stochastic volatility model is therefore expressed as a multivariate stochastic volatility model. Bayesian posterior inference is computed using a Markov chain Monte Carlo scheme for the multivariate representation. A circular prior that exploits the periodicity is suggested for the log-variance of the log-volatilities. The approach is applied to estimate a periodic stochastic volatility model for half-hourly electricity prices …
Reallocation Of Mesh Points In Fluid Problems Using Back-Propagation Algorithm, Philadelphia University
Reallocation Of Mesh Points In Fluid Problems Using Back-Propagation Algorithm, Philadelphia University
Philadelphia University, Jordan
No abstract provided.