计算机 | SCI期刊专刊信息4条

全文截稿: 2020-11-29

影响因子: 2.792

CCF分类: 无

中科院JCR分区:

• 大类 : 工程技术 - 3区

• 小类 : 工程：电子与电气 - 3区

网址: https://www.journals.elsevier.com/digital-signal-processing

Molecular communication is one of the oldest and the most widespread communication mechanisms on Earth. It is essential for all living entities from unicellular organisms to multicellular animals and plants to retain their vital functionalities. For example, many bacteria respond to signaling molecules which are secreted by their neighbors to coordinate their behavior. Signaling molecules (e.g., pheromone) are also extensively used by a great variety of animal species ranging from insects to higher primates to transmit and receive information for many behavioral functions. Furthermore, in neuronal system, electrical impulses (i.e., action potential) and neurotransmitters (i.e., signaling molecules) are jointly used by neuron cells to communicate with target cells. Besides these fascinating molecular communication mechanisms in nature, developments in nano- and biotechnology have recently revealed that molecular communication is also a promising alternative for the interconnection of very tiny “biomimetic machines'' or commonly known as nanomachines such as engineered cells and bionanorobots. The interconnection of these nanomachines, i.e., nanonetwork, is expected to enable sophisticated medical, industrial, and environmental applications. In these applications, molecular communication among nanomachines can enforce reliability and controllability. More importantly, molecular communication can coordinate different nanomachine populations to reach highly sophisticated behavior and increase the number of design possibilities.

The molecular communication literature is relatively new, but quickly spreading. Most of the articles in this literature have been investigating what is the rate of the molecular communication and introducing a diverse set of communication methods to improve this rate. However, the investigation of how molecular signals are modeled and processed is also essential to figure out many natural phenomena such as molecular information processing in a synapsis and to design efficient molecular communication and computing systems. The main motivation behind this special issue is to reveal the signal processing aspects of the molecular communication through review articles (preferred) and technical contributions. We invite submissions from the following (but not limited to) topics:

Detection Schemes for Molecular Information

Estimation of Molecular Channel Parameters

Localization of a Molecular Source

Direction of Arrival (DoA) Estimation of Molecular Information

Analysis and Modeling of Molecular Noise Signal

Analysis and Processing of Molecular Signals in Neuronal System

Molecular Signal Processing in Gene Regulatory Networks

Molecular Signal Processing in Molecular Circuits

全文截稿: 2020-12-15

影响因子: 3.03

CCF分类: B类

中科院JCR分区:

• 大类 : 工程技术 - 3区

• 小类 : 计算机：硬件 - 3区

• 小类 : 计算机：信息系统 - 3区

• 小类 : 工程：电子与电气 - 3区

• 小类 : 电信学 - 3区

网址: http://www.journals.elsevier.com/computer-networks

Connected and autonomous unmanned vehicles are considered as a promising technology solution for numerous applications, ranging from civilian to military settings, including shipment of goods, home package delivery, crop monitoring, agricultural surveillance, and emergency rescue operations in those regions where the access is difficult or dangerous for human beings. Connected and autonomous unmanned vehicles comprise of unmanned aerial/ground vehicles (UAVs/UGVs) that distinguish by means of different characteristics. While UAVs can search a wide range of targets, their height and speed results in a limited target positioning estimation; on the other side, UGVs can have accurate locations of a target on the ground. Also, UGVs move slowly and can be easily obscured by obstacles.

To overcome such limitations, UAVs and UGVs should work cooperatively and collaborate with each other in ad hoc manner through Line-of-Sight (LoS) links to exchange data packets. Of course, UAVs can also communicate with fixed ground stations, with an air traffic controller, or through a Non-Line-of-Sight (NLoS) link with a satellite-aided controller, generally based on preloaded tasks. Besides the dissimilar communication technologies, various problems appear in these inter-UAVs/UGVs communications including energy management, lack of security and the unreliability of wireless communication links, and handover from LoS to NLoS, and vice versa.

Topics of interest include, but are not limited to:

Mobility, traffic models and network management for UAVs/UGVs

Energy efficiency in UAVs/UGVs

Inter-UAVs/UGVs and UAVs/UGVs-assisted routing

Security, privacy, and trust in UAVs/UGVs

UAVs/UGVs-assisted applications

Spectrum management for UAVs/UGVs

Mobile edge computing in UAVs/UGVs

Beyond 5G technologies for UAVs/UGVs

Performance, scalability, reliability and efficiency of Inter- UAVs/UGVs and UAVs/UGVs-to-X communications

Modeling and theoretical proofs of communications in UAVs/UGVs

Inter-UAVs/UGVs communications over future internet architectures

UAVs/UGVs clouds

Testbeds and validation.

全文截稿: 2021-01-20

影响因子: 3.03

CCF分类: B类

中科院JCR分区:

• 大类 : 工程技术 - 3区

• 小类 : 计算机：硬件 - 3区

• 小类 : 计算机：信息系统 - 3区

• 小类 : 工程：电子与电气 - 3区

• 小类 : 电信学 - 3区

网址: http://www.journals.elsevier.com/computer-networks

Healthcare is a data-intensive clinical domain where a huge amount of data is generated, accessed, and disseminated on a regular basis. Existing approaches in healthcare systems such as tracking and tracing are regularly exposing the system’s limitations in managing the security and privacy of the patients’ data. The majority of the work in healthcare systems involves exchanging or using potentially personal and confidential data. A key problem is the creation of approaches that maintain the utility of health data while preserving privacy and conforming to high ethical standards. This will be vital to fostering large-scale uptake, particularly as health data collection is likely to continue beyond this current ongoing pandemic. Therefore, the research community is investigating secure, privacy-preserving, and sustainable healthcare systems, through the use of emerging technology such as blockchain.

Blockchain technology has emerged as a key technology in the digital revolution of many verticals such as supply chains, automobile industry, and healthcare. It is ready to transform the way traditional medical systems and businesses have engaged in the healthcare sector for the last several decades. Blockchain applications for healthcare data management create utilities for patient, doctors and healthcare institutes for management of patient records, claims and payments management, medical IoT security and data verification and exchange for financial auditing with transparency. This also enables healthcare institutions to restrict the unauthorized person to access sensitive information and to maintain immutable audit trails of access and modification to patient data. The purpose of this special issue is to explore blockchain to improve processes, services and applications in healthcare, health sciences and health education.

The proposed special issue is expected to bring together a number of quality submissions in blockchain-based healthcare systems. The main topics of this special issue include, but are not limited to, the following:

Communication Protocols for Patient-Centric Data Sharing

Blockchain in IoT-supported Health Insurance

Secure and Trustworthy Clinical Data Sharing

Traceability in sensor-enabled pharmaceutical supply chains

Smart Contracts for Coordination of Decentralised Clinical Trials

Health Information Exchange and Interoperability

Scalable Blockchains for large scale Clinical Information Sharing

Privacy-preserving patient data lineage

Secure and Sustainable Tracing and Tracking with Blockchain

Blockchain-Based Sustainable and Secure Identification

Decentralising AI with Blockchain for Healthcare

Decentralized management of healthcare IoT devices

Decentralized Secure and Sustainable Architectures

全文截稿: 2021-01-31

影响因子: 2.766

CCF分类: C类

中科院JCR分区:

• 大类 : 工程技术 - 3区

• 小类 : 计算机：信息系统 - 3区

• 小类 : 工程：电子与电气 - 3区

• 小类 : 电信学 - 3区

网址: http://www.journals.elsevier.com/computer-communications