International Conference on Computer, Information and Telecommunication Systems 

About: International Conference on Computer, Information and Telecommunication Systems is an academic conference. The conference publishes majorly in the area(s): Wireless sensor network & Computer science. Over the lifetime, 437 publications have been published by the conference receiving 2904 citations.

Deep semantic understanding of high resolution remote sensing image

Abstract: With the rapid development of remote sensing technology, huge quantities of high resolution remote sensing images are available now. Understanding these images in semantic level is of great significance. Hence, a deep multimodal neural network model for semantic understanding of the high resolution remote sensing images is proposed in this paper, which uses both visual and textual information of the high resolution remote sensing images to generate natural sentences describing the given images. In the proposed model, the convolution neural network is utilized to extract the image feature, which is then combined with the text descriptions of the images by RNN or LSTMs. And in the experiments, two new remote sensing image-captions datasets are built at first. Then different kinds of CNNs with RNN or LSTMs are combined to find which is the best combination for caption generation. The experiments results prove that the proposed method achieves good performances in semantic understanding of high resolution remote sensing images.

HaBiTs: Blockchain-based Telesurgery Framework for Healthcare 4.0

Abstract: Telesurgery has a huge potential to deliver a real-time healthcare surgical services to the remote or distant locations with high quality and accuracy over the wireless communication channel. It provides benefits to the society with improved precision and accuracy in diagnosis procedures. However, the existing telesurgery system has the security, privacy, and interoperability issues, which limits its applicability in healthcare centers across the world in future. To mitigate these issues, in this paper, we propose, a framework named as HaBiTs (blockchain-based secure and flawless inter-operable telesurgery), where security can be achieved with immutability and interoperability by Smart Contracts (SCs). SC is a piece of code written in solidity or other blockchain specific languages to establish the trust between all the parties connected through blockchain and also eliminate the need of an intermediary for data sharing. Finally, we highlight some issues of the traditional telesurgery system and how they are mitigated with usage of the proposed HaBiTs framework.

An advanced Internet of Thing based Security Alert System for Smart Home

Abstract: Before inception of Internet of Things (IoT), personal computers and laptop were used to handle daily tasks of individuals like mail surfing, access to bank portal, observing current temperature, among others. Nowadays, IoT-enabled smart devices like smart mobile phones, PDAs, and tablets are being used by them for such tasks due to rapid growth in IoT. Smart homes have been widely accepted by individuals and organizations world wide due to their many advantages. Home security systems can be defined as monitoring of complete home/some portion of home from a remotely located or centralized location. It allows the user to watch all activities inside the home from a remote location that ultimately gives satisfaction to the owner of the home. Many home security systems exist, but they have some challenging issues like: delay, non-web enabled and difficult to handle during transfer of alerts to user in situation where any unusual event occurred inside the home. If any unusual event encountered inside the home, where security systems deployed, then system must be capable enough to send alert to the user without any delay by phone, text, or email. Cameras and other latest network technologies have enabled us to remotely monitor the home more effectively and efficiently from our smart phone. Hence, considering the above mentioned facts, in this paper, we have proposed an advanced Internet of Thing based Security Alert System for Smart Home in order to detect an intruder or any unusual event at home, when nobody is available there. This low-cost home security system utilizes a small pyroelectric Infrared (PIR) module and raspberry pi for minimizing the delay during process of e-mail alert. This paper also confirms the advantage of Raspberry Pi flexibility and broad probability of its usage. Preliminary analyses have shown encouraging results.

Wireless Sensor Network in precision agriculture application

Abstract: The Wireless Sensors Network (WSN) is nowadays widely used to build decision support systems to overcome many problems in the real-world. One of the most interesting fields having an increasing need of decision support systems is precision agriculture (PA). This paper presents WSN as the best way to solve the agricultural problems related to farming resources optimization, decision making support, and land monitoring. This approach provides real-time information about the lands and crops that will help farmers make right decisions. Using the basic principles of Internet and WSN technology, precision agriculture systems based on the internet of things (IOT) technology is explained in detail especially on the hardware architecture, network architecture and software process control of the precision irrigation system. The software monitors data from the sensors in a feedback loop which activates the control devices based on threshold value. Implementation of WSN in PA will optimize the usage of water fertilizer and also maximized the yield of the crops.

Authorship verification for short messages using stylometry

Abstract: Authorship verification can be checked using stylometric techniques through the analysis of linguistic styles and writing characteristics of the authors. Stylometry is a behavioral feature that a person exhibits during writing and can be extracted and used potentially to check the identity of the author of online documents. Although stylometric techniques can achieve high accuracy rates for long documents, it is still challenging to identify an author for short documents, in particular when dealing with large authors populations. These hurdles must be addressed for stylometry to be usable in checking authorship of online messages such as emails, text messages, or twitter feeds. In this paper, we pose some steps toward achieving that goal by proposing a supervised learning technique combined with n-gram analysis for authorship verification in short texts. Experimental evaluation based on the Enron email dataset involving 87 authors yields very promising results consisting of an Equal Error Rate (EER) of 14.35% for message blocks of 500 characters.