{"title":"Relation between Total Quality Management and the Performance of E-commerce","authors":"Raya Muslim Sadik","doi":"10.30534/ijacst/2018/01762018","DOIUrl":"https://doi.org/10.30534/ijacst/2018/01762018","url":null,"abstract":"Total quality management is the assurance of quality in the respective field and e-commerce is the buying and selling online. Online sites should and have implemented quality tools that results in better productivity and customer satisfaction. E-commerce is the most frequently used term in many companies because it assures quality control and quality assurance. Quality is controlled and assured by implementation of quality management. When a company launches their online site, the main goal is to assure their quality, to promote their products, to increase the sales and make happy and loyal customers","PeriodicalId":294118,"journal":{"name":"International Journal of Advances in Computer Science and Technology","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133957636","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review of techniques and methods for object detection","authors":"Ali Khan","doi":"10.30534/ijacst/2019/01822019","DOIUrl":"https://doi.org/10.30534/ijacst/2019/01822019","url":null,"abstract":"Many Sensors are available for detection purpose in literature. Some of these are used to detect only warm bodies like human and animals these types of sensors are mostly used in home security systems, some of the sensors are used to detect objects/obstacles which are mainly used in robotics to avoid the obstacle and some of the sensors are used for a special purpose like methane gas detection sensors. Some sensors are not suitable for every type of environment like an infrared sensor. Which does not give good results in a dark environment. This paper critically reviews and summarizes techniques and methods of these sensors but mainly focused will be on techniques and methods for object detection.","PeriodicalId":294118,"journal":{"name":"International Journal of Advances in Computer Science and Technology","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115042321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Video Object Detection for Police Surveillance using Deep Learning","authors":"","doi":"10.30534/ijacst/2021/011032021","DOIUrl":"https://doi.org/10.30534/ijacst/2021/011032021","url":null,"abstract":"Human vision is incredibly excellent and complex. In the previous years, people made significantly more leaps to expanding this visual capacity to machines. Cameras have been used as the eyes of computers.In response to increasing anxieties about crime and its threat to security and safety, the utilization of substantial numbers of closed-circuit television system (CCTV) in both public and private spaces have been considered a necessity. The use of these significant video footages is essential to incident investigations.But as the number of these systems rises, so as the need for human operator monitoring tasks.Unfortunately, many actionable incidents are utterly undetected in this manual systemdue to inherent limitations from deploying solely human operators eye-balling CCTV screens.As a result, surveillance footages are often used merely as passive records or as evidence for post-event investigations. This study aimed to develop a real-time firearm detection using deep learning embedded in CCTV cameras that pushes alert notifications to both iOS and Android mobile devices.This research used a descriptive design and asked IT experts to evaluate the develop system based on its compliance to ISO 25010 standard. Moreover, confusion matrix and intersection over union (IoU) were used to evaluate the performanceof the system.The detection system was found to be highly recommended in urban areas particularly for CCTVs found in barangay streets and establishments.","PeriodicalId":294118,"journal":{"name":"International Journal of Advances in Computer Science and Technology","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124110654","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}