Journal of Computer Science

Volume 19 Issue 1 2019

Serial: 1

Review on Features, Protocols, Threats and Challenges of WSN

Page No: 1-9

This paper gives an overview of WSNs advances, conventions, principle applications, dangers and difficulties in WSNs. Because of the incomprehensible capability of sensor systems to empower applications that interface the physical world to the virtual world, the efficient outline and usage of remote sensor systems has turned out to be a standout amongst the most vital advancements for the twenty-first century. A WSN regularly comprises of a substantial number of minimal effort, low-control, and multifunctional remote sensor hubs, with detecting, remote correspondences and calculation capacities. The movement of detecting, preparing, and correspondence under restricted measure of vitality, lights a cross-layer configuration approach commonly requiring the joint thought of disseminated flag/information handling, medium get to control, and correspondence conventions. In this paper different conventions for remote sensor system are talked about. WSN might be vulnerable for different assaults, which are examined under dangers. The fundamental application ranges for WSNs are additionally examined here.
10.5281/JCSE.19.01/01
Download PDF
Dr. I. Lakshmi. (2019). Review on Features, Protocols, Threats and Challenges of WSN. Journal of Computer Science, 19(1), 1-9.

Serial: 2

Classification Based on Decision Tree Algorithm for Machine Learning

Page No: 1-9

Decision tree classifiers are regarded to be a standout of the most well-known methods to data classification representation of classifiers. Different researchers from various fields and backgrounds have considered the problem of extending a decision tree from available data, such as machine study, pattern recognition, and statistics. In various fields such as medical disease analysis, text classification, user smartphone classification, images, and many more the employment of Decision tree classifiers has been proposed in many ways. This paper provides a detailed approach to the decision trees. Furthermore, paper specifics, such as algorithms/approaches used, datasets, and outcomes achieved, are evaluated and outlined comprehensively. In addition, all of the approaches analyzed were discussed to illustrate the themes of the authors and identify the most accurate classifiers. As a result, the uses of different types of datasets are discussed and their findings are analyzed.
10.5281/JCSE.19.01/02
Download PDF
gorithm for Machine Learning. (2019). Classification Based on Decision Tree Algorithm for Machine Learning. Journal of Computer Science, 19(1), 1-9.

Serial: 3

Impact of Food Preservation on Food Waste

Page No: 1-1

Clients fabricate the maximum quantity of food waste and loss in the food stock chains of evolving and developed economies. A new European food waste programme has standard consumer food waste as a main task. The COST Network, EU network on food waste valorisation has given devotion to resolving the quantity of consumer food waste formed through industrial and policy intrusions. Falling all food losses will affect in a more protected complete food system and it is important for us to show how consumers can reduce food waste in houses. This is where food protection has an important role in simplifying this waste plunging action since it progresses the operation of food. It has also been acknowledged that thoughtful why food is wasted by customers during meal events develops of waste decrease tactics that can be used for different foods and conservation methods Previous food waste saving initiatives have typically focussed external of this consumer field and they have focussed on trade and retail food losses. They have been effective at designing out food waste using the rightweighting of food foodstuffs (portion control) and light-weighting of packet (material resource efficiency). Their success has been made probable through supportive actions across the food productions that have established joint accountability for food waste. It is crucial that this inventiveness now act to reduce the food that consumers obtaining but do not eat. While these food losses remain amazingly important it is reported by national agencies and government divisions that customers’ food waste regularly ranges 20 per cent or more of food purchased. There has been a rise of re-distribution systems and community focussed schedules that have been effective at eliminating food waste from source chains. Reorganization of foods that are close to shelf-life bounds and schemes that enable providing food to customers such as “public fridges” have an extremely important role to play in waste saving mostly where people practice limited availability and affordability of foods. The reorganization of foods from sellers and producers that are close to shelf life limits or giving donations has also seen the impact of using on-line statement knowledges that connect earners with consumers of reorganized foods. What has become plain in this field is the lessening of food wastes from the food stock chain to the point of customer sale is reliant on the application of many actions. That is, there is no sole solution here and many actions that reallocate, involve communities and use on-line knowledges will help to reduce food waste and create alertness of answerable use of foods. The study stated here highlights the value of conservation technologies and the need for food group models that take account of opposing shelf life and value considerations as these will help to guide food policy. Earlier studies of fresh and frozen shelf life of foods have revealed a decrease in household waste linked with frozen food use. A newer study in the Netherlands has established a stochastic model to show the effect of ambient, solid and fresh preservation on domestic food waste. This study is critically significant because it shows how food conservation methods that cover shelf life of foods in the home can reduce food waste over yearly time periods. These studies also advise that knowledge of food preparation and the best use of foods in families are critical in waste decrease. Electrical Engineering and Electromechanics | ISSN: 2074-272X | | https://ieeejournal.org/ | Page No : 1 | Volume 19 - Issue 1 - 2019 |
10.5281/JCSE.19.01/03
Download PDF
James Marwell. (2019). Impact of Food Preservation on Food Waste. Journal of Computer Science, 19(1), 1-1.