An Analytical Review of Existing Supermarket Billing Systems

Retail shops and stores form part of the nation’s business sector involved in selling and providing several goods and services. The main objective was to study and analyse existing supermarket billing systems and possibly identify their weaknesses and strengths. This will enable us to generate an RFID billing system that is unique and even more advantageous than the existing systems. The methodology used was qualitative involving hard and soft document reviews and observational experiments. Findings revealed that there are several billing systems which include the manual price tag system where a mini-computer (calculator) is used to sum up the total bill per customer at a time, the barcode reader system, the smart chart with store cards, and the ‘smart shopping cart. It was noted that these have the advantage of giving confidence all the items are counted, paid for, save time and are cheap to use. However, they are also associated with several weaknesses like long waiting time (queues), the systems require a lot of human effort to read the barcodes which is not efficient, barcode systems sometimes fail to read, possible human errors while entering information, possible cheating through wrongly-fed information and the desynchronization effects because of the unreliable network. This was an awareness drive about the existing supermarket billing systems in order to enhance further studies on better ones

Stay at Home Reservation: The Mitigation Step in Covid-19 Pandemic

The Covid-19 pandemic condition that has hit the world has had a significant impact on various sectors. Health facilities need information system support in their services. Breaking the distribution chain can be done by maintaining a physical distance. However, in reality, people are still indifferent. There is a possibility that the patient is infected but shows no symptoms or is lying to the point of endangering medical personnel. In addition, there is a stigma in the community so that they are afraid to go to health facilities. Even though it cannot be denied that in certain conditions patients should still have their conditions checked by a doctor. The development of this online registration system aims to reduce the risk of contact between patients and medical personnel. The real-time queue monitoring feature helps patients to wait in line anywhere, so they are not in the patient's waiting room. This system is able to provide real-time queues for examinations in all polyclinics. This can reduce public anxiety about coming to health facilities. Index Terms— Covid-19; Health Facilities; Online Reservation; Pandemic; Realtime Queues

Dynamic Packet Scheduler for Queuing Real Time and Non Real Time Internet Traffic

Real-time traffic or flows also called as inelastic traffic is that which enforces timely delivery of flows within a specified period of time. There are several applications which generate these flows like multimedia, audio-video conferencing, webinar, Interactive gaming, webcam, Internet TV etc. An interactive application demands a speedy delivery of flows. Flows reaching the destination after this deadline are considered useless. Realtime traffic imposes rigid demands for the delivery. All the realtime flows should be timely delivered and accumulated at the destination. The proposed Dynamic Scheduler relies on Dynamic Packet Scheduling ratio which is dynamic in nature and the ratio changes dynamically with respect to the flows accumulated in both the queues. Flows are scheduled based on the maximum flows allowed on the path that is calculated by TP max. Packet scheduling is based on the available throughput of the network. This dynamic scheduling results in guaranteed fair treatment of both real-time traffic and non-real time traffic. In the this paper we propose a Dynamic Scheduler, [DPS] which dynamically works according to the available number of flows in both realtime and non-real-time queues.