scholarly journals A MAC Layer Protocol For Smart Indoor Inventory Management System

2021 ◽  
Author(s):  
Xiaofeng Li
Keyword(s):  
Success Rate ◽  
Inventory Management ◽  
Real Life ◽  
Inventory System ◽  
Discovery Process ◽  
Mac Layer ◽  
Queuing Model ◽  
Critical Position ◽  
Research Attention ◽  
Sensing Data

The indoor inventory system is gaining more research attention and commercial value with the development of IoT. In this thesis, we presented the design of a MAC protocol that allows synchronized transmission of location and sensing data in a wireless positioning and sensor network for an indoor inventory system. The network supports real-life industrial applications and provides a highly specific positioning method.<div>In the network, mobile sensing tags are connected to smart readers that performs localization of tags and gathers sensing data from the tags. The readers are connected to the back-end cloud. The proposed MAC serves multiple classes of mobile tags with different priorities and latency requirements. These tags transmit critical, position and sensing data with different QoS requirements. The proposed MAC is a hybrid MAC that offers contention-based period for tag discovery and scheduled period for the transmission of sensing data with guaranteed latency. We conducted simulation to evaluate the performance of different methods of discovery process and their impact on latency assurance. We also developed a queuing model to analyze the relationship between parameters, acquiring parameters through experiment, and calculation of boundary values.<br></div><div>Simulation using MatLabTM software suggests that the joining period in design can increase the transmission success rate of high priority messages at the cost of a slight increment in the delay of low priority messages. Preliminary analysis suggests that by adaptively allocating the channel resources of the network to three types of tags, service efficiency can be improved. This result also guides the direction for further improvement.<br></div><div>We explored the performance of two options considered currently, which is selecting the discovery process according to modulo result of unique 16-bit tag ID and random select of an available discovery process. In the current environment where each tag does not have any information about other tags inside the network, the two methods have the same effect on avoiding collisions that could happen in a single discovery cycle.<br></div><div>The proposed MAC layer protocol can provide the best service when the available discovery process in the discovery cycle is for initialization and resetting. For an emergency, the joining period designs can still ensure a success rate for critical messages to be over 90%. Hence, the simulation results indicate the joining period method is able to improve MAC-layer performance.</div><div> <br></div>

scholarly journals A MAC Layer Protocol For Smart Indoor Inventory Management System

2021 ◽  
Author(s):  
Xiaofeng Li
Keyword(s):  
Success Rate ◽  
Inventory Management ◽  
Real Life ◽  
Inventory System ◽  
Discovery Process ◽  
Mac Layer ◽  
Queuing Model ◽  
Critical Position ◽  
Research Attention ◽  
Sensing Data

The indoor inventory system is gaining more research attention and commercial value with the development of IoT. In this thesis, we presented the design of a MAC protocol that allows synchronized transmission of location and sensing data in a wireless positioning and sensor network for an indoor inventory system. The network supports real-life industrial applications and provides a highly specific positioning method.<div>In the network, mobile sensing tags are connected to smart readers that performs localization of tags and gathers sensing data from the tags. The readers are connected to the back-end cloud. The proposed MAC serves multiple classes of mobile tags with different priorities and latency requirements. These tags transmit critical, position and sensing data with different QoS requirements. The proposed MAC is a hybrid MAC that offers contention-based period for tag discovery and scheduled period for the transmission of sensing data with guaranteed latency. We conducted simulation to evaluate the performance of different methods of discovery process and their impact on latency assurance. We also developed a queuing model to analyze the relationship between parameters, acquiring parameters through experiment, and calculation of boundary values.<br></div><div>Simulation using MatLabTM software suggests that the joining period in design can increase the transmission success rate of high priority messages at the cost of a slight increment in the delay of low priority messages. Preliminary analysis suggests that by adaptively allocating the channel resources of the network to three types of tags, service efficiency can be improved. This result also guides the direction for further improvement.<br></div><div>We explored the performance of two options considered currently, which is selecting the discovery process according to modulo result of unique 16-bit tag ID and random select of an available discovery process. In the current environment where each tag does not have any information about other tags inside the network, the two methods have the same effect on avoiding collisions that could happen in a single discovery cycle.<br></div><div>The proposed MAC layer protocol can provide the best service when the available discovery process in the discovery cycle is for initialization and resetting. For an emergency, the joining period designs can still ensure a success rate for critical messages to be over 90%. Hence, the simulation results indicate the joining period method is able to improve MAC-layer performance.</div><div> <br></div>

Items Searching in Factory Warehouse Using Arduino Module

2019 ◽  
Vol 1 (1) ◽  
pp. 1-14
Author(s):  
Tan Liong Ching ◽  
Nureize Binti Arbaiy
Keyword(s):  
Inventory Management ◽  
Liquid Crystal Display ◽  
Light Emitting Diode ◽  
Storage System ◽  
Voice Recognition ◽  
Inventory System ◽  
Search Process ◽  
Light Emitting ◽  
Recognition Function ◽  
Light Function

The smart store system (F3 Storage System) provides an inventory system function, and is supported by voice recognition for items searching purpose in the warehouse. This system is aimed to improve effectiveness in item searching process for the warehouse management. An inventory system structures is employed in this system to enable items management. Voice recognition facility helps the worker to search item in an effective way. Worker can use voice recognition function to search the item in the warehouse, and searched information of the item will be displayed in the liquid crystal display (LCD) screen. Meanwhile, the location of the item will be physically indicated by the light emitting diode (LED) light function. The developed system also contains a barcode system to enhance the process of scheduling warehouse activity. Such facilities will enhance the capabilities of existing inventory management systems in warehouses. Prototyping model is used to assist project development. Arduino technology is used to enable integrated hardware and software to read data or input. With Arduino technology, traditional search items by using text and search functionality are enhanced to allow speech functionality. This functionality makes the search process faster and more efficient.

Semi-supervised Heterogeneous Defect Prediction with Open-source Projects on GitHub

2021 ◽  
Vol 31 (06) ◽  
pp. 889-916
Author(s):  
Ying Sun ◽  
Xiao-Yuan Jing ◽  
Fei Wu ◽  
Xiwei Dong ◽  
Yanfei Sun ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Open Source ◽  
Large Scale ◽  
Real Life ◽  
Defect Prediction ◽  
Public Project ◽  
Research Attention ◽  
Target Company ◽  
Public Datasets ◽  
Heterogeneous Defect Prediction

The heterogeneous defect prediction (HDP) technique can predict defects in a target company using heterogeneous metric data from external company, which has received substantial research attention. However, existing HDP methods assume that source data is labeled but labeling data is expensive. Semi-supervised defect prediction technique can perform defect prediction with few labeled data. In this paper, we investigate a new problem — semi-supervised HDP (SHDP). To solve this problem, we propose a new approach named cost-sensitive kernel semi-supervised correlation analysis (CKSCA) as a solution of SHDP problem. It introduces unified metric representation and canonical correlation analysis to make the data distributions of different company projects more similar. CKSCA also designs a cost-sensitive kernel semi-supervised discriminant analysis mechanism to utilize the limited labeled data and sufficient real-life unlabeled data from different companies. Besides we collect lots of open-source projects from GitHub website to construct a new large-scale unlabeled dataset called GITHUB dataset. It contains 26,407 modules and is greater than each public project dataset. It has been public online and can be extended continuously. Experiments on the GITHUB dataset and other public datasets indicate that unlabeled GITHUB data can help prediction model improve prediction performance, and CKSCA is effective and efficient for solving SHDP problem.

Making an Impact

2011 ◽  
pp. 254-260
Author(s):  
Roger Rosen ◽  
Miriam Gilbert
Keyword(s):  
User Experience ◽  
Information Seeking ◽  
Real Life ◽  
Health And Wellness ◽  
Discovery Process ◽  
Award Winning ◽  
Seeking Behavior ◽  
Age Appropriate ◽  
Digital Landscape

In this case study, Roger Rosen and Miriam Gilbert describe the creation of Rosen Publishing’s award-winning, critically acclaimed Teen Health & Wellness: Real Life, Real Answers database. They focus on how Rosen was able to offer a unique value proposition both to teens and librarians, craft age-appropriate and credible content, and build an interactive site that offers an engaging, dynamic user experience. They review the process of creating a resource that had no barrier to finding information, made the discovery process fast and easy, and supported different styles of learning and information-seeking behavior. They discuss the challenges of ensuring that Teen Health & Wellness remains relevant and current in today’s crowded digital landscape, and share the successes in building a unique health and wellness resource that is indispensable to teens and librarians alike.

NASAL GLUCAGON DELIVERY IS MORE SUCCESSFUL THAN INJECTABLE DELIVERY: A SIMULATED SEVERE HYPOGLYCEMIA RESCUE

2020 ◽  
Vol 26 (4) ◽  
pp. 407-415
Author(s):  
Julie A. Settles ◽  
Gregg Francis Gerety ◽  
Erik Spaepen ◽  
Jeffrey Gideon Suico ◽  
Christopher J. Child
Keyword(s):  
Success Rate ◽  
High Stress ◽  
Real Life ◽  
Severe Hypoglycemia ◽  
High Fidelity ◽  
Success Rates ◽  
Dose Delivery ◽  
Mean Time

Objective: A severe hypoglycemia (SH) episode is an acute, high-stress moment for the caregivers of persons with diabetes (PWD). We compared the success rates of nasal glucagon (NG) and injectable glucagon (IG) administration for PWD-trained and untrained users in treating simulated SH episodes. Methods: Thirty-two PWD-trained users and 33 untrained users administered NG and IG to high-fidelity manikins simulating treatment of an SH emergency. Simulation rooms resembled common locations with typical diabetic supplies and stressor elements mimicking real-life SH environments. Success rate and time to administer glucagon were measured. Results: Of all the PWD-trained and untrained users, 58/64 (90.6%) could successfully deliver NG, while 5/63 (7.9%) could successfully deliver IG. For NG simulations, 28/31 (90.3%) PWD-trained users and 30/33 (90.9%) untrained users could successfully administer the dose (mean time 47.3 seconds and 44.5 seconds, respectively). For IG simulations, 5/32 (15.6%) PWD-trained users successfully injected IG (mean time 81.8 seconds), whereas none (0/31 [0%]) of the untrained users were successful. Reasons for unsuccessful administration of NG included oral administration and incomplete pushing of the device plunger. For IG, inability to perform reconstitution steps, partial dose delivery, and injection at an inappropriate site were the causes for failure. Conclusion: With or without training, the success rate for administering NG was 90.6%, whereas it was only 7.9% for IG. NG was easily and quickly administered even by untrained users, whereas training was necessary for successful administration of IG. NG may expand the community of caregivers who can help PWD during an SH episode. Abbreviations: IG = injectable glucagon; NG = nasal glucagon; PWD = person with diabetes; SH = severe hypoglycemia; T1D = type 1 diabetes; T2D = type 2 diabetes

A Decision Support Tool (DST) for Inventory Management

2019 ◽  
Vol 11 (2) ◽  
pp. 27-47
Author(s):  
Okure Udo Obot ◽  
Uduak David George ◽  
Victoria Sunday Umana
Keyword(s):  
Decision Support ◽  
Inventory Management ◽  
Moving Average ◽  
Real Life ◽  
Decision Support Tool ◽  
Unit Price ◽  
Public Power ◽  
Support Tool ◽  
Eoq Model ◽  
Real Life Situation

Loss of customer goodwill is one of the greatest losses a business organization can incur. One reason for such a loss is stock outage. In an attempt to solve this problem, an overstock could result. Overstock comes with an increase in the holding and carrying cost. It is an attempt to solve these twin problems that an economic order quantity (EOQ) model was developed. Information on fifteen items comprised of 10 non-seasonal and 5 seasonal items was collected from a supermarket in Ikot Ekpene town, Nigeria. The information includes the quantity of daily sales, the unit price, the lead time and the number of times an item is ordered in a month. Based on this information, a simple moving average and y-trend method of forecasting were used to forecast the sales quantity for the following month for the non-seasonal and seasonal items. The forecast value was used to compute the EOQ for each of the items. Different scenarios were created to simulate the fuzzy logic EOQ after which the result of the conventional method, EOQ method, and fuzzy EOQ methods were obtained and compared. It was revealed that if the EOQ method is adopted, savings of 43% of holding and carrying cost would be made. From the scenarios of a fuzzy EOQ, a savings of 35.65% was recorded. It was however observed that in a real-life situation, the savings on a fuzzy EOQ is likely to be higher than that of an EOQ considering the incessant public power outages and the increase in transportation fares due to the high cost of fuel and the bad state of roads in Nigeria. To this end, a Decision Support Tool (DST) was developed to help the supermarket manage its inventory based on daily predictions. The DST incorporates a filter engine to take care of some emotional and cognitive incidences within the environment.

scholarly journals An Analysis Regarding the Possibility of Using Fuzzy Logic in Inventory Management

2014 ◽  
Vol 64 (1) ◽  
pp. 76-81
Author(s):  
Claudiu-Leonardo Stoia
Keyword(s):  
Fuzzy Logic ◽  
Control Systems ◽  
Inventory Control ◽  
Inventory Management ◽  
State Of The Art ◽  
Inventory System ◽  
Starting Point

Abstract The paper presents a brief state-of-the-art survey regarding the use of fuzzy logic in inventory management. Its goal is to motivate enthusiastic entrepreneurs to take into account the benefits of using fuzzy logic inventory control systems. It offers a guide to model an inventory system having a free fuzzy tool as starting point

On data-driven systems and system-driven data

2016 ◽  
Vol 6 (2) ◽  
pp. 153-165 ◽  
Author(s):  
Koen Van Daele ◽  
Leen Meganck ◽  
Sophie Mortier
Keyword(s):  
Real Life ◽  
Data Entry ◽  
Inventory System ◽  
Short Introduction ◽  
Content Type ◽  
Driven Systems ◽  
Practical Applications ◽  
Printed Books ◽  
Different Types ◽  
History Of

Purpose – Over the past 20 years, heritage inventories in Flanders (Belgium) have evolved from printed books to digital inventories. The purpose of this paper is to look at this evolution and highlight the interaction between the system and its users. Design/methodology/approach – After a short introduction about the history of inventories in Flanders, this paper mainly concerns itself with the last decade. Discrete topics will be highlighted to show the effects of the interaction that has taken place. Findings – It is obvious that a system that publishes a digital inventory needs to adapt to the user requirements. But, after years of working with a digital inventory system, it has become apparent that not only has the system been developed to the users’ needs, but also that user practice and the resulting data have been shaped by the system. Seeing data projected on a common basemap has led researchers to realise how intertwined and interdependent different types of heritage can be and how much their respective methodologies can benefit from more interaction. It has become apparent that data quality is of the utmost importance, something that can only be guaranteed by data entry standards, validation tools, and a strict editing workflow. The systems that are being developed are not expected to live on forever, but the data in them is. Originality/value – This paper presents real-life use cases and practical applications of building and maintaining a large digital inventory system over the years and through changes in organisational structure and focus. It provides insights that are hard to ascertain from smaller projects due to the volumes of data that are handled.

Proposal of Intelligent Inventory System for Space Station with IC Tag - Near Real-Time Onboard Inventory Management

2011 ◽  
Vol 103 ◽  
pp. 68-70 ◽  
Author(s):  
Kazuhito Shimada ◽  
Yusaku Fujii
Keyword(s):  
Real Time ◽  
International Space Station ◽  
Inventory Management ◽  
Electromagnetic Interference ◽  
Space Station ◽  
Inventory System ◽  
Radio Propagation ◽  
Rfid Tags ◽  
International Space

Difficulty in inventory management on space station has been known since 1980’s but still is a new problem. We propose the expanded application of IC tags for the International Space Station inventory management. Use of multiple RFID tags can monitor package use status. Where electromagnetic interference or poor radio propagation is a problem, we may apply ultrasound tags.

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