Informatics Publishing Limited

K. Ravichandran ¹, M. Jayaprakash ²

Affiliations
1 Central Groundwater Board, Besant Nagar, Chennai-600 090, IN
2 Department of Applied Geology, University of Madras, Maraimalai Campus, Chennai-600 025, IN

Abstract

Seasonal variation on physico-chemical parameters and trace metals of groundwater in and around Ambattur industrial area, Chennai were determined. The hydrochemical investigation revealed that the seasonal effect does not change the order of abundance of cations and anions but it does change the concentration of various ions present in the groundwater. Alkali metals (Na⁺, K⁺) and strong acids (Cl^-, SO₄ ^2-) are dominating over alkaline earth metals (Ca²⁺, Mg²⁺) and weak acids (HCO₃ ^-, CO₃ ^2- ) for both seasons. Statistical analysis indicates the highest positive correlation exists between EC and Cl with correlation co-efficient of 0.97 and 0.96 during pre and post-monsoon respectively. Nitrate concentration in the groundwater ranges from 2 to 258 mg/l during pre-monsoon. in the case of post-monsoon, it ranges from 0 to 230 mg/L. During post-monsoon period, nitrate concentration decreased in many wells that are located mostly inside the industrial area. However, it has increased in the residential area, reflecting that the leaching of nitrate from the open sewerage lines. Groundwater in the study area is generally hard, fresh to brackish and low alkaline nature. The unsuitability of groundwater for drinking was identified in few places due to high total hardness and TDS. Fluoride is within the permissible limit for human consumption as per international standards.

Keywords

Water Quality, Groundwater, Chennai, Ambattur Industrial Area, India

Full Text

   

V. Ashok Kumar ¹, M. Jayaprakash ¹

Affiliations
1 DLIS, Periyar University, Salem – 636011, Tamil Nadu, IN

Abstract

With accelerated advance of advice technology the libraries are affective appear e-resources, which are begin to be beneath amount and added accessible for simple access. The frequently accessible cyber banking assets mainly CD-ROMs, OPACs, and Internet etc., which are replacing the present book media in today's accelerated alteration world, advice needs of learners and ability seekers are met through a glut of sources. The e-resources accessible in a library play a above role in facilitating admission to appropriate advice to the users in an simple and active manner. The users accept afflicted their advice gluttonous behavior and demands assets and casework from the libraries electronically. The actualization of agenda technology application agenda media has accelerated the advance and development of advice in bendable from and fabricated the advice action added active and dynamic. The measurements of advice in altered formats creates botheration of access. In case of acceptable library area cardboard based advice and advice arrangement is bedfast to library and advice centers, burning admission appears to be limited. But, in a active arrangement of advice area everybody can admission to advice amid in limited library and advice centers through a arrangement is termed agenda information. The resultant abnormality is the actualization of agenda libraries area burning and simple admission to bookish advice is guaranteed. Since the advertisement action of all types of abstracts is fabricated electronically, the accumulation of agenda library is inevitable.

Keywords

Accessing E–Resources, Digital, Electronic Resources.

Full Text

   

R. Ashokkumar ¹, S. Srinivasalu ¹, V. Gopal ², M. Jayaprakash ²

Affiliations
1 Department of Geology, College of Engineering, Guindy, Anna University, Chennai-600025, IN
2 Department of Applied Geology, University of Madras, Guindy Campus, Chennai-600025, IN

Abstract

Geoscientists are using many different approaches to study the deep-sea sediment cores. The various elements in the sediments help to determine how far terrigenous particles might have been transported from where they originated on the continent as a weathering product. Ocean sediments are the final product of weathering and of biogeochemical processes occurring in the ocean. This makes deep-sea sediment composition also a record of climate change on earth. The Weathering Indices are tools to calculate the weathering intensity of the sediments. Within this view, core sediments were collected from Bay of Bengal, off Cuddalore at the depth of 2591 m and the sub-samples with an interval of 5 cm. The textural study clearly indicates that the core sediments dominate with high amount of mud (Silt+Clay). From the correlation analyses, Al2O3 is found to be strongly correlated with Iron, Calcium and Magnesium Oxides. Weathering indices such as Chemical Index of Alteration (CIA), Chemical Index of Weathering (CIW), and Plagioclase Index of Alteration (PIA) were evaluated. CIA values (60.65%) indicate moderate chemical weathering of the source rock under tropical to subtropical climatic conditions. PIA values (62.83%) off Cuddalore indicate the presence of plagioclase feldspars in core sediments.

Keywords

Weathering Indices, Major Oxides, CIA, PIA and Off Cuddalore.

Full Text

   

P. Balamadeswaran ¹, A.K. Mishra ², M. Jayaprakash ³, M. Ifthikhar Ahmed ⁴

Affiliations
1 Department of Mining Engineering, College of Engineering Guindy, Anna University, Chennai, Tamilnadu 600025, IN
2 Department of Mining Engineering, Indian Institute of Technology (ISM), Dhanbad, Jharkhand 826004, IN
3 Department of Applied Geology, University of Madras, Chennai, Tamilnadu 600025, IN
4 Geo Exploration and Mining Solutions, Salem, Tamilnadu 636 004, IN

Abstract

Globally, the surface mining is considered to be primay mining operation for achieving sustained mineral production, which has shown augmented production with significant deployment of large capacity. These equipment require higher investment, and thus, mining engineers should plan to attain the best performance from these equipment. The capability of the loading and hauling equipment largely entrusted on the outome of the blast, particularly, the fragmentation and spreading of rockpile. Generally, the mine owners ignore geological descriptions and features apart from the nature of rock and began quickly quantifying the rockmass properties only whether it is hard or soft based on its geomechanical properties. From the geological studies, it is understood that the response of deep weathering of any deep-seated massive rock resulting in producing thick boulders. These embedded boulders possess the characteristics completely different that of surrounding rockmass and any other soil present in the vicinity. The blast fragment size generally dictates the output of equipment working in such formation and affects the productivity of the mine. Thus, an effective blasting is need of the hour in such formations that affects the cost of entire mining activities. Therefore, it is important to study the effect of blasting parameters on fragmentation of such embedded boulders through existing field practices and also using the advanced blasting technologies. This paper concerned with the fragmentation of embedded boulders/floaters under difficult geological conditions. Geology plays a critical role in every aspects of a blast’s performance and it is the chief uncontrollable factor to be considered for any blast design. The authors discuss the difficulties in identifying the embedded boulders by understanding the geological features properly and discussed the possible solutions to enhance its breakage during the blasting through conducting few experimental blasts in a limestone quarry.

Keywords

Geology, mining, embedded boulder; blast design and fragmentation.

Full Text

     

E. Kamalanaban ¹, S. Madhusudhanan ², D. Jennifer ³, M. Jayaprakash ⁴

Affiliations
1 Department of Computer Science and Engineering, Veltech Hightech Dr.Rangarajan Dr.Sakunthala Engineering College, India., IN
2 Department of Computer Science and Engineering, Prathyusha Engineering College, India., IN
3 Department of Computer Science and Engineering, Panimalar Engineering College, India., IN
4 Department of Information Technology, RMK Engineering College, India., IN

Abstract

Online criminals are focusing their attention more and more on ordinary computer users, seeking to take advantage of them through a variety of social and technological exploitation techniques. Some hackers are getting more skilled and determined. The ability to conceal their identities, keep their communications secret, keep their finances separate from their activities, and make use of private infrastructure are all areas in which cybercriminals have shown a high degree of proficiency. It is of the utmost importance to safeguard computers with surveillance systems that are able to identify complex varieties of malware. In this paper, we utilized machine learning algorithm to validate the samples from different datasets. The machine learning classifier is utilized to find the efficacy of the entire model in validating the class samples. The simulation is conducted in python to test the efficacy of the model against various class of datasets. The results show that the proposed method achieves higher degree of accuracy than the other models.

Keywords

IDS, Security, Attack, Network Security.

Full Text

     

E. Kamalanaban ¹, S. Madhusudhanan ², D. Jennifer ³, M. Jayaprakash ⁴

Affiliations
1 Department of Computer Science and Engineering, Veltech Hightech Dr.Rangarajan Dr.Sakunthala Engineering College, India., IN
2 Department of Computer Science and Engineering, Prathyusha Engineering College, India., IN
3 Department of Computer Science and Engineering, Panimalar Engineering College, India., IN
4 Department of Information Technology, RMK Engineering College, India., IN

Abstract

Online criminals are focusing their attention more and more on ordinary computer users, seeking to take advantage of them through a variety of social and technological exploitation techniques. Some hackers are getting more skilled and determined. The ability to conceal their identities, keep their communications secret, keep their finances separate from their activities, and make use of private infrastructure are all areas in which cybercriminals have shown a high degree of proficiency. It is of the utmost importance to safeguard computers with surveillance systems that are able to identify complex varieties of malware. In this paper, we utilized machine learning algorithm to validate the samples from different datasets. The machine learning classifier is utilized to find the efficacy of the entire model in validating the class samples. The simulation is conducted in python to test the efficacy of the model against various class of datasets. The results show that the proposed method achieves higher degree of accuracy than the other models.

Keywords

IDS, Security, Attack, Network Security.

Full Text