Analysis of artificial intelligence in industrial drives and development of fault deterrent novel machine learning prediction algorithm

Industrial sectors rely on electrical inverter drives to power their various load segments. Because the majority of their load is nonlinear, their drive system behaviour is unpredictable. Manufacturers continue to invest much in research and development to ensure that the device can resist any disturbances caused by the power system or load-side changes. The literature in this field of study depicts numerous effects caused by harmonics, a sudden inrush of currents, power interruption in all phases, leakage current effects and torque control of the system, among others. These and numerous other effects have been discovered as a result of research, and the inverter drive has been enhanced to a more advanced device than its earlier version. Despite these measures, inverter drives continue to operate poorly and frequently fail throughout the warranty term. This failure analysis is used as the basis for this research work, which presents a method for forecasting faulty sections using power system parameters. The said parameters were obtained by field-test dataset analysis in industrial premises. The prediction parameter is established by the examination of field research test data. The same data are used to train the machine learning system for future pre-emptive action. When exposed to live data feeds, the algorithm may forecast the future and suggest the same. Thus, when comparing the current status of the device to the planned study effort, the latter provides an advantage in terms of safeguarding the device and avoiding a brief period of total shutdown. As a result, the machine learning model was trained using the tested dataset and employed for prediction purposes; as a result, it provides a more accurate prediction, which benefits end consumers rather than improving the power system\u27s grid-side difficulties

Detection of Compromised Accounts in Online Social Networks

Social behavioral profile appropriately reflects a user’s OSN activity patterns. People get right of entry to OSNs using both conventional computer PCs and new emerging cellular devices. With multiple billion customers global, OSNs are a brand new venue of innovation with many difficult studies issues. In this paper, we look at the social behaviors of OSN customers, i.e., their utilization of OSN offerings, and the utility of which in detecting the compromised accounts. We capture user conduct with the subsequent metrics: user connectivity, user hobby and user reactions. We validate and represent the person social hobby on OSN. The take a look at is based totally on distinct ClickStream data, the ClickStream data reveals key features of the social network workloads, consisting of how frequently humans connect to social networks and for a way lengthy, in addition to the kinds and sequences of activities that users conduct on those websites. We take note of the traits of social behaviors were view malicious behaviors of OSN users and show the social behavioral profiles can correctly differentiate man or woman OSN users and discover compromised account

Implementing Provable Security and Group Key Agreement for Conbe Scheme

encoding is used during a communication system to secure data within the transmitted messages from anyone apart from the well intended receiver. To perform the encryption and decryption the transmitter and receiver should have matching encoding and decryption keys. For causing safeguard data to group required broadcast encoding (BE). BE permits a sender to securely broadcast to any set of members and need a trusted party to distribute decryption keys. Group key agreement (GKA) protocol permits variety of users to determine a common secret channel via open networks. Observing that a significant goal of GKA for many applications is to make a confidential channel among group members, however a sender cannot omit any explicit member from decrypting the cipher texts. By bridging BE and GKA notion with a hybrid primitive said as contributory broadcast encoding (CBE). With these primitives, a bunch of members move through a standard public encoding key whereas every member having their secret writing key; A sender seeing the general public cluster encoding key will limit the secret writing to set of members of sender‘s selection. An easy way to generate these keys is to use the general public key distribution system invented by Diffie and Hellman. That system, however, pass only 1 combine of communication stations to share a specific combine of encoding and secret writing keys. Key distribution sets are used to generate keys and Elliptic Curve Cryptography (ECC) is used for the encoding and decryption of documents; and this tends to give the protection for the documents over group communication

In silico screening of potential inhibitors against glutathione S transferase of plasmodium falciparum

Glutathione S Transferase catalyse the conjugation of glutathione with a wide mixed bag of hydrophobic mixes, for the most part bringing about nontoxic items that could be readily killed. As opposed to different organisms, the malarial parasite Plasmodium falciparum has one Glutathione S Transferase enzyme (Pfgst). This Glutathione S Transferase is highly found in the parasite, its movement was discovered to be increased in chloroquine cells, and it has been indicated to go about as a ligand in for parasitotoxic hemin. Thus, the enzyme speaks to a guaranteeing target for antimalarial drug development. The target is docked with small ligand molecules with AutoDock Vina. The ligand molecules are checked for their toxicity Pfgst has a shorter C-terminal area bringing about a more dissolvable-available binding site for the hydrophobic substrates. The ligand molecules selected for docking are used for the inhibition of the Glutathione S Transferase molecule. The ligands that are selected are chloroquine, S hexylglutathione, Artemesinin, Hemin, Protoporphyrin IX, Tetracycline, Quinidine and Quinine. The ligand molecules are found to inhibit the Glutathione S Transferase molecule in vivo. These findings thus suggest that above molecules can may be potentially used for the drug development of malaria

A Space Efficient Data Management Scheme on Content Delivery Networks for Online Video Provisioning

In this paper CDNs (Content Delivery Networks) have been widely implemented to provide scalable cloud services. Such networks support resource pooling by permitting virtual machines or physical servers to be dynamically activated and deactivated consistent with current user demand. This paper examines on-line video replication and placement problems in Content delivery networks an efficient video provisioning scheme should simultaneously utilize system resources to reduce total energy consumption and limit replication overhead. We inclined to propose a scheme known as adaptive information placement that may dynamically place and reorganize video replicas among cache servers on subscribers’ arrival and departure. Both the analyses and simulation results show that adaptive information placement will reduce the number of activated cache servers with restricted replication overhead. Additionally, adaptive information placements performance is approximate to the optimal solution

Secure and Reliable Data Transfer across Multiple Entities by Using LIME

A data distributor has given precise data to a set of evidently trusted agents. Some of the data are leaked and found in an unjustified place. The distributor must assess the probability that the splitted data came from one or more agents, as opposed to having been individually collected by others. We suggest data allocation techniques which can enhance the chance of identifying split. These strategies do not build on changes of the outsourced data. While sending data through the network there is a lot of dishonest user looking to hack useful data. A proper security should be provided to data which is send to network. To avoid this data leakage, we used the data lineage mechanism. We develop and analyze novel accountable data transfer protocol between two entities within a malicious environment by building upon oblivious transfer and robust Watermarking

In silico screening of potential inhibitors against glutathione S transferase of plasmodium falciparum

Glutathione S Transferase catalyse the conjugation of glutathione with a wide mixed bag of hydrophobic mixes, for the most part bringing about nontoxic items that could be readily killed. As opposed to different organisms, the malarial parasite Plasmodium falciparum has one Glutathione S Transferase enzyme (Pfgst). This Glutathione S Transferase is highly found in the parasite, its movement was discovered to be increased in chloroquine cells, and it has been indicated to go about as a ligand in for parasitotoxic hemin. Thus, the enzyme speaks to a guaranteeing target for antimalarial drug development. The target is docked with small ligand molecules with AutoDock Vina. The ligand molecules are checked for their toxicity Pfgst has a shorter C-terminal area bringing about a more dissolvable-available binding site for the hydrophobic substrates. The ligand molecules selected for docking are used for the inhibition of the Glutathione S Transferase molecule. The ligands that are selected are chloroquine, S hexylglutathione, Artemesinin, Hemin, Protoporphyrin IX, Tetracycline, Quinidine and Quinine. The ligand molecules are found to inhibit the Glutathione S Transferase molecule in vivo. These findings thus suggest that above molecules can may be potentially used for the drug development of malaria

Formulation and evaluation of CFC free inhalers for beclomethasone dipropionate

Beclomethasone dipropionate CFC free inhalation formulations were developed with a view to treat asthma prophylactically. Dry powder inhalers (DPI) for beclomethasone dipropionate were prepared with different grades of lactose monohydrate. The influence of carrier and overages on performance of DPI was studied. Metered dose inhalers (MDI) with HFA based propellants were formulated with various doses, overages and different concentrations of alcohol. Formulated DPI and MDI were evaluated for various official and unofficial quality control tests. The influence of over doses on valve delivery, effect of overages on emitted dose and influence of alcohol on spray pattern from MDI were studied. The better fine particle fraction and emitted dose were obtained from the DPI formulated with 10:90 ratio of fine lactose: coarse lactose and with 20% w/w overages. The studies on MDI revealed that the 15% of overdoses are required for effective valve delivery and 20% overages are required for 100% drug delivery. 5-10%v/v alcohol was found to be preferable to get optimum emitted dose and fine particle fraction.Desenvolveram-se formulações por inalação de dipropionato de beclometasona, livres de CFC, com o objetivo de tratar a asma profilaticamente. Prepararam-se inaladores de pó seco (DPI) para o dipropionato de beclometasona com diferentes gradações de lactose monoidratada. Estudou-se a influência do transportador e dos excessos de fármaco em relação ao rotulado no desempenho do DPI. Inaladores de dose calibrada (MDI) com propelentes à base de hidrofluoralcanos (HFA) foram formulados com várias doses, excessos de fármaco em relação ao rotulado e diferentes concentrações de álcool. Avaliaram-se as DPI e MDI formuladas por vários métodos oficiais e não oficiais de controle de qualidade. Estudaram-se a influência da superdosagem na liberação da válvula, o efeito dos excessos na dose emitida e a influência do álcool no padrão do spray do MDI. Obtiveram-se a melhor partícula fina e a dose emitida do DPI formulado com proporção de 10:90 de lactose fina:lactose grossa e 20% p/p de excesso. Os estudos em MDI revelaram que 15% de sobredose são requeridos para a liberação efetiva da válvula e 20% de excessos, para a liberação de 100% dos fármacos. Álcool a 5-10% v/v permitiu alcançar ótima dose emitida e fração de partícula fina

A CLINICAL STUDY ON AMLAPITTA AND ITS MANAGEMENT WITH CHHINNODBHAVADI GHANAVATI

Amlapitta is a disease prevalent all over the world. The increasing prevalence rate is a constant challenge to the research workers. The disease Amlapitta is a common functional disease of Annavaha srotas. Materialistic life style provokes people to run behind a busy, stressful life with least concern towards proper food habit. The aim of the present study was to find out efficacy of Chhinnodbhavadi Ghanavati in comparison to modern PPI. In present study total 40 patients were taken, divided into 2 equal groups. In group-I: 20 patients were treated with oral administration of trial drug that is Chhinnodbhavadi ghanavati 500mg 2 tab twice a day for 45 days and in group-II: 20 patients were treated with control drug that is Pantaprazole 40mg 1 tab once a day orally for 45 days. After conducting clinical trial on 40 patients, observation and results were obtained. Statistical analysis shows that both trail and control drug were significantly effective to reduce the cardinal symptoms. As compared to trail drug the effect of control drug is better to reduce symptoms. However as compared to side effects and contra-indications of the control drug, it is advisable to use Chhinnodbhavadi Ghanavati for the treatment of Amlapitta for a long period