Intelligent agent for formal modelling of temporal multi-agent systems

Software systems are becoming complex and dynamic with the passage of time, and to provide better fault tolerance and resource management they need to have the ability of self-adaptation. Multi-agent systems paradigm is an active area of research for modeling real-time systems. In this research, we have proposed a new agent named SA-ARTIS-agent, which is designed to work in hard real-time temporal constraints with the ability of self-adaptation. This agent can be used for the formal modeling of any self-adaptive real-time multi-agent system. Our agent integrates the MAPE-K feedback loop with ARTIS agent for the provision of self-adaptation. For an unambiguous description, we formally specify our SA-ARTIS-agent using Time-Communicating Object-Z (TCOZ) language. The objective of this research is to provide an intelligent agent with self-adaptive abilities for the execution of tasks with temporal constraints. Previous works in this domain have used Z language which is not expressive to model the distributed communication process of agents. The novelty of our work is that we specified the non-terminating behavior of agents using active class concept of TCOZ and expressed the distributed communication among agents. For communication between active entities, channel communication mechanism of TCOZ is utilized. We demonstrate the effectiveness of the proposed agent using a real-time case study of traffic monitoring system

Efficient performative actions for e-commerce agents

The foundational features of multi-agent systems are communication and interaction with other agents. To achieve these features, agents have to transfer messages in the predefined format and semantics. The communication among these agents takes place with the help of ACL (Agent Communication Language). ACL is a predefined language for communication among agents that has been standardised by the FIPA (Foundation for Intelligent Physical Agent). FIPA-ACL defines different performatives for communication among the agents. These performatives are generic, and it becomes computationally expensive to use them for a specific domain like e-commerce. These performatives do not define the exact meaning of communication for any specific domain like e-commerce. In the present research, we introduced new performatives specifically for e-commerce domain. Our designed performatives are based on FIPA-ACL so that they can still support communication within diverse agent platforms. The proposed performatives are helpful in modelling e-commerce negotiation protocol applications using the paradigm of multi-agent systems for efficient communication. For exact semantic interpretation of the proposed performatives, we also performed formal modelling of these performatives using BNF. The primary objective of our research was to provide the negotiation facility to agents, working in an e-commerce domain, in a succinct way to reduce the number of negotiation messages, time consumption and network overhead on the platform. We used an e-commerce based bidding case study among agents to demonstrate the efficiency of our approach. The results showed that there was a lot of reduction in total time required for the bidding process

1-(4-Methyl­phen­yl)-2-(phenyl­sulfon­yl)ethanone

In the title compound, C15H14O3S, the benzene and phenyl rings make a dihedral angle of 33.56 (16)°. In the crystal, mol­ecules are linked by C—H⋯O hydrogen bonds into a layer parallel to the ab plane

Ethyl 1-(4-methyl­phen­yl)-5-phenyl-4-phenyl­sulfon­yl-1H-pyrazole-3-carboxyl­ate

The title compound, C25H22N2O4S, features a tetra-substituted pyrazole ring. The dihedral angles formed between the five-membered ring (r.m.s. deviation = 0.007 Å) and the N- and C-bound phenyl rings are 48.10 (7) and 72.01 (7) °, respectively, indicating that the planes through the residues are significantly twisted from the plane through the heterocycle. The ester-CO2 group is also twisted out of this plane, with an O—C—C—N torsion angle of −29.04 (11)°. The sulfonyl-O atoms lie to one side of the pyrazole plane and the sulfonyl­phenyl ring to the other. The dihedral angle between the two ring planes is 70.63 (7) °. Supra­molecular arrays are formed in the crystal structure sustained by C—H⋯O and C—H⋯π(pyrazole) inter­actions and methyl-C—H⋯π(N-bound benzene) contacts

Enhanced Computational Intelligence Algorithm for Coverage Optimization of 6G Non-Terrestrial Networks in 3D Space

The next generation 6G communication network is typically characterized by the full connectivity and coverage of Users Equipment (UEs). This leads to the need for moving beyond the traditional two-dimensional (2D) coverage service to the three-dimensional (3D) full-service one. The 6G 3D architecture leverages different types of non-terrestrial or aerial nodes that can act as mobile Base Stations (BSs) such as Unmanned Aerial Vehicles (UAVs), Low Altitude Platforms (LAPs), High-Altitude Platform Stations (HAPSs), or even Low Earth Orbit (LEO) satellites. Moreover, aided technologies have been added to the 6G architecture to dynamically increase its coverage efficiency such as the Reconfigurable Intelligent Surfaces (RIS). In this paper, an enhanced Computational Intelligence (CI) algorithm is introduced for optimizing the coverage of UAV-BSs with respect to their location from RIS in the 3D space of 6G architecture. The regarded problem is formulated as a constrained 3D coverage optimization problem. In order to increase the convergence of the proposed algorithm, it is hybridized with a crossover operator. For the validation of the proposed method, it is tested on different scenarios with large-scale coordinates and compared with many recent and hybrid CI algorithms, as Slime Mould Algorithm (SMA), Lévy Flight Distribution (LFD), hybrid Particle Swarm Optimization and Gravitational Search Algorithm (PSOGSA), the Covariance Matrix Adaptation Evolution Strategy (CMA-ES), and hybrid Grey Wolf Optimizer and Cuckoo Search (GWOCS). The experiment and the statistical analysis show the significant efficiency of the proposed algorithm in achieving complete coverage with a lower number of UAV-BSs and without constraints violation. </p

5,6-Dimethyl-4-(thio­phen-2-yl)-1H-pyrazolo­[3,4-b]pyridin-3-amine

In the title mol­ecule, C12H12N4S, the thio­phene ring is disordered over two orientations with a refined site-occupancy ratio of 0.777 (4):0.223 (4). The pyrazolo­pyridine ring system is essentially planar with an r.m.s. deviation of 0.0069 (3) Å and makes dihedral angles of 82.8 (2) and 72.6 (5)°, respectively, with the major and minor components of the thio­phene ring. In the crystal, mol­ecules are linked into a chain along the a axis by a pair of N—H⋯N(pyrazole) hydrogen bonds and a pair of N—H⋯N(pyridine) hydrogen bonds, both having a centrosymmetric R 2 2(8) graph-set motif. A C—H⋯π inter­action is also present

High plasma levels of adrenomedullin in collagen diseases

Background: Adrenomedullin (ADM), a potent vasorelaxant/hypotensive peptide, was shown recently to be over-expressed in inflammatory rheumatic diseases. Objectives: The aim of this study was to investigate the value of ADM as a laboratory marker of disease activity in juvenile rheumatoid arthritis (JRA) and pediatric onset- systemic lupus erythematosus (SLE) and its relation to other markers of disease activity such as clinical scores, the ESR and tumor necrosis factor-α (TNF-α). Methods: The study included 24 patients with JRA, 17 with childhood onset- SLE, as well as, 19 with rheumatic arthritis and twenty clinically healthy age- and sex- matched subjects. Clinical evaluation for disease activity was performed using the clinical activity score index in JRA, and SLE-DAI in SLE. Subjects were investigated to verify the diagnosis and disease activity. Plasma ADM and serum of TNF-α levels were then assayed. Results: Serum TNF-α and plasma ADM levels were significantly higher in JRA and SLE patients than in rheumatic arthritis patients and healthy controls. Though serum TNF-α and plasma ADM levels were both higher in JRA (73.88 ± 11.6 pg/ml and 156.5 ± 22.4 pg/ml, respectively) compared to SLE (48.82 ± 7.5 pg/ml and 85.12 ± 15.7 pg/ml, respectively), the difference was of statistical significance only in ADM. Both serum TNF-α and plasma ADM levels were significantly higher in systemic onset-JRA (139.75 ± 18.5 and 260.25 &amp;#177 28.6 pg/ml, respectively) compared to the pauciarticular-onset type (33.8 ± 3.04 and 93.4 ± 9.35 pg/ml, respectively), but comparable to the polyarticular onset cases (69.97 ± 8.45 and 149.87 ± 21.15 pg/ml, respectively). Positive correlations were noticed between plasma ADM and activity score index (r=0.72), ESR (r=0.59) and serum TNF-α (r=0.64) in JRA. The serum TNF- α was not influenced by the site of lupus activity unlike plasma ADM that was higher in subjects suffering from lupus arthritis or cardiovascular manifestations. The afore-mentioned markers correlated positively to the ESR in SLE but not to the SLE-DAI. With a cut-off value of TNF-α = 31 pg/ml and that for ADM = 80 pg/ml calculated from the results of the included rheumatic arthritis patients, ADM appeared to be a more sensitive marker of activity in JRA and SLE compared to TNF-α. Conclusion: Plasma ADM was over-expressed in JRA and SLE. It correlated with the clinical and biochemical activity markers in JRA suggesting that it can be used as an indicator of disease activity. In SLE, ADM levels correlated with ESR and TNF- α levels and it could be of value in identifying patients with arthritis and cardiac involvement.&lt;br.Keywords: Adrenomedullin, JRA, SLE, TNF-α, arthritisEgypt J Pediatr Allergy Immunol 2004; 2(1): 28-3

QoS based optimal resource allocation and workload balancing for fog enabled IoT

This paper is aimed at efficiently distributing workload between the Fog Layer and the Cloud Network and then optimizing resource allocation in cloud networks to ensure better utilization and quick response time of the resources available to the end user. We have employed a Dead-line aware scheme to migrate the data between cloud and Fog networks based on data profiling and then used K-Means clustering and Service-request prediction model to allocate the resources efficiently to all requests. To substantiate our model, we have used iFogSim, which is an extension of the CloudSim simulator. The results clearly show that when an optimized network is used the Quality of Service parameters exhibit better efficiency and output

3-(1H-Imidazol-1-yl)-1-phenyl­propan-1-ol

In the title compound, C12H14N2O, the imidazole ring forms a dihedral angle of 66.73 (5)° with the phenyl ring. In the crystal, mol­ecules are linked via O—H⋯N and C—H⋯O hydrogen bonds into sheets lying parallel to (100). The crystal structure is further consolidated by C—H⋯π inter­actions