scholarly journals Unified Traceability Information System of Logistics Pallet Based on the Internet of Things

2013 ◽  
Vol 765-767 ◽  
pp. 1181-1185 ◽  
Author(s):  
Xing Zhi Lin
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Internet Technology ◽  
The Internet ◽  
Coupling Mechanism ◽  
Logistics Information System ◽  
Traceability System ◽  
Logistics Information ◽  
Intelligent Logistics ◽  
The Internet Of Things

The paper focuses on the intelligent logistics pallet, networking, traceability information technology and unified logistics information system, and puts forward unified traceability information system of intelligent logistics pallet based on the Internet of things (IOT), displaying innovative system realization method and technical system. IOT intelligent logistic pallet traceability system is an integrated fusion application of RFID, GIS, GPS, computer telecommunication integration together with Internet technology; in system design and implementation, TOT and RFID coupling mechanism, CTI and API interface programming are adopted for construction of three intelligent system service architecture of logistics pallet traceability system including application, business and physics; in the logistics pallet regular operation, reading and writing RFID equipments, labels and telecommunications network, Internet, and other unified information communication mode are fused into the intelligent logistics information system, so as to realize the intelligent logistics pallet identity identification and traceability function. The system test output results indicate that, intelligent logistics pallet unified information system is equipped with intelligent recognition, management and tracing function and business process reengineering capacity including production promotion, distribution, transport logistics and allocation.

scholarly journals RANCANGAN ARSITEKTUR SISTEM INFORMASI LOGISTIK BERBASIS CYBER-PHYSICAL SYSTEMS DENGAN TEKNOLOGI BIG DATA DAN INTERNET OF THINGS

2021 ◽  
Vol 16 (2) ◽  
pp. 143-152
Author(s):  
Muhammad Rifqi Ma'arif ◽  
Andika Bayu Saputra
Keyword(s):  
Information System ◽  
Big Data ◽  
Internet Of Things ◽  
Physical System ◽  
The Internet ◽  
Cyber Physical System ◽  
Logistics Information System ◽  
Logistics Information ◽  
The Internet Of Things ◽  
Big Data Technology

Era Industri 4.0 sangat dipengaruhi oleh perkembangan teknologi informasi khususnya teknologi big data dan internet of things. Dua teknologi tersebut membangun sebuah paradigma baru yang disebut dengan Cyber-Physical System (CPS). CPS didefinsikan sebagai interkoneksi antara lingkungan fisik dengan program komputer melalui teknologi sensor/ IoT. Penerapan CPS di berbagai bidang bisnis/ industri akan semakin memperkuat nilai bisnis yang ditawarkan kepada customer. Salah satu bidang industri yang akan mengalami peningkatan signifikan dengan penerapan CPS adalah bidang logistik. Pengembangan Sistem Informasi Logistik dengan pengimplementasian konsep CPS akan memberikan nilai tambah bagi sektor logistik secara keseluruhan. Untuk mewujudkan hal tersebut, diperlukan sebuah studi konspetual bagaimana teknologi big data dan internet of things dapat diimplementasikan dalam sistem logistik. Sehingga, dalam penelitian ini, akan dikembangkan suatu rancangan arsitektur Sistem Informasi Logistik berbasis teknologi big data dan IoT untuk mendukung penerapan CPS dalam bidang logistik. AbstractThe era of Industry 4.0 is strongly influenced by information technology developments, especially big data technology and the internet of things. The two technologies build a new paradigm called Cyber-Physical System (CPS). CPS is defined as the interconnection between the physical environment and computer programs through sensor / IoT technology. The application of CPS in various business / industry fields will further strengthen the business value offered to customers. One of the industrial fields that will experience a significant increase with CPS's application is the field of logistics. The development of the Logistics Information System by implementing the CPS concept will provide added value to the Logistics sector as a whole. To make this happen, we need a conceptual study of how big data technology and the internet of things can be implemented in the logistics system. Therefore, in this study, a Logistics Information System architecture design will be developed based on big data and IoT technology to support CPS's application in logistics.Keywords: Logistic Information Systems; Cyber-Physical System; big data; internet of things

GSM Information Collection Design of Logistics Information System Based on Internet of Things

2013 ◽  
Vol 765-767 ◽  
pp. 1387-1391
Author(s):  
Xing Zhi Lin
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Information Collection ◽  
Interactive System ◽  
The Internet ◽  
Logistics Information System ◽  
Logistics Information ◽  
Information Collecting ◽  
The Internet Of Things

On the analysis of logistics information collecting techniques (including the Unified Information System, The Internet Of Things, Global System for Mobile Communication ), the paper puts forward solutions and innovative ways to operate the system based on Unified Information System (UIS) in The Internet Of Things (IOT). GSM information collection, which is based on the UIS, has integrated the technologies of Radio Frequency Identification (RFID), GSM, and Computer Telecommunication Integration (CTI). With the unique characteristics of business processes of UIS and IOT, the systematic design has carried out the technical construction and interactive system design on the brandboard adjustment program of GSM information collection model, the anti-collision technique as well as Network Communication Program of GMS model controlled by AT command. This design has realized the exchange between the logistics information collection and processing and GSM network by the way of adopting the TC35i Single Chip Processor Control System, as a result, it has formed the distributed link for the logistics information system, and identified the feasibility of GSM information collecting system applied in this system.

E-Commerce Logistics System Based on Internet of Things

2021 ◽  
Author(s):  
Fan Yang
Keyword(s):  
Internet Of Things ◽  
Functional Module ◽  
Operation Mode ◽  
Sampling Rate ◽  
The Internet ◽  
Logistics System ◽  
Resource Allocation Algorithm ◽  
Logistics Information System ◽  
Intelligent Logistics ◽  
The Internet Of Things

In order to improve the efficiency of the e-commerce logistics system, this paper analyzes the application of dynamic bandwidth resource allocation algorithm in intelligent logistics tracking scenarios and distribution scenarios, and achieves the purpose of optimizing the allocation of bandwidth resources by changing the sampling rate of the control signal. Moreover, this paper designs and implements an e-commerce logistics information system based on the Internet of Things, and starts with each functional module to introduce in detail the various functions realized by the system in this paper. This article changes the traditional logistics operation mode, through the realization of various functional modules, users can grasp personal historical orders and view the list of historical orders. Finally, this paper analyzes the performance of this system through experimental research. The results of the research show that the e-commerce logistics system based on the Internet of Things proposed in this paper is effective.

Sustainable Security for the Internet of Things Using Artificial Intelligence Architectures

2021 ◽  
Vol 21 (3) ◽  
pp. 1-22
Author(s):  
Celestine Iwendi ◽  
Saif Ur Rehman ◽  
Abdul Rehman Javed ◽  
Suleman Khan ◽  
Gautam Srivastava
Keyword(s):  
Internet Of Things ◽  
Detection System ◽  
Experimental Testing ◽  
Cyber Attacks ◽  
Internet Technology ◽  
The Internet ◽  
Business Operations ◽  
Private Data ◽  
The Internet Of Things ◽  
Better Than

In this digital age, human dependency on technology in various fields has been increasing tremendously. Torrential amounts of different electronic products are being manufactured daily for everyday use. With this advancement in the world of Internet technology, cybersecurity of software and hardware systems are now prerequisites for major business’ operations. Every technology on the market has multiple vulnerabilities that are exploited by hackers and cyber-criminals daily to manipulate data sometimes for malicious purposes. In any system, the Intrusion Detection System (IDS) is a fundamental component for ensuring the security of devices from digital attacks. Recognition of new developing digital threats is getting harder for existing IDS. Furthermore, advanced frameworks are required for IDS to function both efficiently and effectively. The commonly observed cyber-attacks in the business domain include minor attacks used for stealing private data. This article presents a deep learning methodology for detecting cyber-attacks on the Internet of Things using a Long Short Term Networks classifier. Our extensive experimental testing show an Accuracy of 99.09%, F1-score of 99.46%, and Recall of 99.51%, respectively. A detailed metric representing our results in tabular form was used to compare how our model was better than other state-of-the-art models in detecting cyber-attacks with proficiency.

scholarly journals Medical Device Integration Model Based on the Internet of Things

2015 ◽  
Vol 9 (1) ◽  
pp. 256-261 ◽  
Author(s):  
Aiyu Hao ◽  
Ling Wang
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Medical Device ◽  
Medical Devices ◽  
Medical Information ◽  
Medical Information System ◽  
The Internet ◽  
Model Based ◽  
Device Integration ◽  
The Internet Of Things

At present, hospitals in our country have basically established the HIS system, which manages registration, treatment, and charge, among many others, of patients. During treatment, patients need to use medical devices repeatedly to acquire all sorts of inspection data. Currently, the output data of the medical devices are often manually input into information system, which is easy to get wrong or easy to cause mismatches between inspection reports and patients. For some small hospitals of which information construction is still relatively weak, the information generated by the devices is still presented in the form of paper reports. When doctors or patients want to have access to the data at a given time again, they can only look at the paper files. Data integration between medical devices has long been a difficult problem for the medical information system, because the data from medical devices lack mandatory unified global standards and have outstanding heterogeneity of devices. In order to protect their own interests, manufacturers use special protocols, etc., thus causing medical devices to still be the "lonely island" of hospital information system. Besides, unfocused application of the data will lead to failure to achieve a reasonable distribution of medical resources. With the deepening of IT construction in hospitals, medical information systems will be bound to develop toward mobile applications, intelligent analysis, and interconnection and interworking, on the premise that there is an effective medical device integration (MDI) technology. To this end, this paper presents a MDI model based on the Internet of Things (IoT). Through abstract classification, this model is able to extract the common characteristics of the devices, resolve the heterogeneous differences between them, and employ a unified protocol to integrate data between devices. And by the IoT technology, it realizes interconnection network of devices and conducts associate matching between the data and the inspection with the terminal device in a timely manner.

A probable effect of the development of internet technology on insurance & banking sectors, decision processes and service structures

2020 ◽  
Vol 1 (1) ◽  
pp. 36-41
Author(s):  
Ali Osman Serdar Citak
Keyword(s):  
Internet Of Things ◽  
Decision Processes ◽  
Internet Technology ◽  
Smart Sensors ◽  
The Internet ◽  
Future Expectations ◽  
History Of ◽  
Probable Effect ◽  
Near Future ◽  
The Internet Of Things

The history of the development of the Internet of Things (IoT) covers the last twenty years. Despite the short of time, the concept and implementation of the Internet of Things have widely spread all over the world. The impetus of the dissemination of the concept has exponential speed. In the near future, billions of smart sensors and devices will interact with one another without human intervention. The early impact of the Internet of Things has been observed and discussed in the areas of technology, transportation, production, and marketing. The prospective effect of the Internet of Things on the finance sector has been discussed recently. In this study, the development of the concept of the Internet of Things and it is effect on the finance sector and specifically the insurance and banking sectors and future expectations have been evaluated.

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