3225 Chapters
Medium 9781601323262

Study of Thermal-noise-assisted Signal Propagation of Neuromorphic Single-electron Circuit

Hamid R. Arabnia, Lou D'Alotto, Hiroshi Ishii, Minoru Ito, Kazuki Joe, Hiroaki Nishikawa, Georgios Sirakoulis, William Spataro, Giuseppe A. Trunfio, George A. Gravvanis, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

Study of thermal-noise-assisted signal propagation of neuromorphic single-electron circuit

Ryo Hirashima1, Tetsuya Asai2, and Takahide Oya1

Graduate School of Engineering, Yokohama National University

Tokiwadai 79-5, Hodogaya-ku, Yokohama 240-8501, Japan

2

Graduate School of Information Science and Technology, Hokkaido University

Kita 14, Nishi 9, Sapporo 060-0814, Japan

1

Abstract - We propose a new neuromorphic singleelectron circuit that can improve speed of signal propagation by harnessing thermal noise energy. In recent years, the single-electron circuit has attracted attention in the field of nanotechnology. However, it is known that the circuit is sensitive to noise. In addition, it takes time to signal propagation. In contrast, recently, very unique neuronal behavior that an axon in a neuron improves the speed of signal propagation by harnessing noise energy has been reported. It is considered that the application of this behavior to the circuit is expected to provide a new high-speed single-electron circuit. In this study, we aim to design such the circuit to improve the signal propagation speed by harnessing the thermal noise by using a Monte

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Medium 9781601322500

Study on the Livestock Activity Monitoring System for Livestock Estrus and Disease Forecasting

Hamid R. Arabnia; Victor A. Clincy; Leonidas Deligiannidis; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Wireless Networks | ICWN'13 |

61

Study on the Livestock Activity Monitoring System for Livestock Estrus and Disease Forecasting

12

Jeonghwan Hwang1, Hyun Yoe2

Department of Information and Communication Engineering Sunchon National University,

Suncheon, Jeollanam-do, Republic of Korea jhwang@sunchon.ac.kr, yhyun@sunchon.ac.kr

Abstract - This paper proposes a livestock activity monitoring system that will allow the collection and monitoring of livestock activity information by using wireless sensor networks technology. In the proposed system, sensor nodes are attached to livestock to establish WSN and livestock activities are measured to collect and monitor the vital information of livestock, and the information on livestock activity change according to disease or estrus that is stored in the database is compared with the collected information on livestock activity to notify the producer in real-time of any values that exceed or fall short of the standard values.

Therefore, the proposed system could diagnose estrus and disease conditions of livestock in early stages based on locations and activity information of livestock collected from wireless sensor nodes, and it is expected to improve productivity of livestock and to minimize damage of livestock diseases through it. 2

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Medium 9788131805374

Appendix_II

Hari Mohan Pandey Laxmi Publications PDF

APPENDIX-II

FUNCTION PROTOTYPE AND THEIR PURPOSE

(A) HEADER FILE

1. int fclose(FILE *fp);

Close file fp.Return 0 if file successfully closed.

2. int feof(FILE *fp);

Determine if an end-of-file condition has been reached; if so return a non-zero value else return a 0 value.

3. int fgetc (FILE *fp);

Enter a single character from file f.

4. char *fgets (char *s, int n, FILE *fp);

Enter string s, containing n characters from file fp.

5. FILE *fopen (const char *filename, const char *m);

Open a file filename in mode m; return a pointer to the file.

6. int fputc(int n, FILE *fp);

Send a single character n to file fp.

7. int fputs(const char *s, FILE *fp);

Send string s to file fp.

8. int fread (void *ptr, int size, int n, FILE *fp);

Enter size data items each of size n from file fp to string s.

9. int fscanf(FILE *fp, cont char * format[…….]);

Enter data items from f (for detail see chapter 12)

10. int fseek(FILE *fp, long offset, int wh);

Move the file pointer for file fp distance offset bytes from location wh which may be beginning end of current location within the file.

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Medium 9781601322517

An approach for Mining Complex Spatial Dataset

Hamid R. Arabnia; Leonidas Deligiannidis; Ray Hashemi; Joan Lu; George Jandieri; Ashu M. G. Solo; and Fernando G. Tinetti (Editors) Mercury Learning and Information PDF

Int'l Conf. Information and Knowledge Engineering | IKE'13 |

129

An approach for Mining Complex Spatial Dataset

Grace L. Samson1, Joan Lu1, Lizhen Wang2, Dave Wilson1

1

Informatics, School of Computing and Engineering, University of Huddersfield; Huddersfield, UK

2

School of Information Science and Engineering, Yunnan University, China PRC

Abstract: Spatial data mining organizes by location what is interesting as such, specific features of spatial data mining (including observations that are not independent and spatial autocorrelation among the features) that preclude the use of general purpose data mining algorithms poses a serious challenge in the task of mining meaningful patterns from spatial systems. This creates the complexity that characterises complex spatial systems. Thus, the major challenge for a spatial data miner in trying to build a general complex spatial model would be; to be able to integrate the elements of these complex systems in a way that is optimally effective in any particular case. We have examined ways of creating explicit spatial model that represents an application of mining techniques capable of analysing data from a complex spatial system and then producing information that would be useful in various disciplines where spatial data form the basis of general interest.

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Medium 9781601323286

Author Index

Hamid R. Arabnia, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, Fernando G. Tinetti CSREA Press PDF

Author Index

Adachi, Motoichi - 291

Adetokunbo, John-Otumu - 59

Aguilar, Jorge - 251

Ahmed, Lina - 246

Akayama, Seiko - 37

Al-Zouri, Ali - 44

Alanazi, Mohammad N. - 370

Alferez, German H. - 127

Alsaif, Abdulrahman - 31

Altayev, Sanzhar - 286

Aly, Sherif - 211

Anisetty, Priyatham - 10

Archer, Joshua - 303 , 313

Barjaktarovic, Milica - 306

Bazan, Patricia - 231

Bender, Lisa - 77

Boranbayev, Askar - 286

Boranbayev, Seilkhan - 286

Bukhari, Syed Faisal Ahmed - 238

Camilo-Junior, Celso - 196

Carson, Jr., Charles Donald - 84

Celso Messias Correia, Ronaldo - 377

Cha, Kyoung Ho - 388

Chambers, Sjohn - 161

Cheon, Se Woo - 388

Cleary, Kevin - 353

Codabux, Zadia - 172

Coe, David - 161 , 264

Coelho Neto, Joao - 296

Diaz, Javier - 231

Diniz Cunha, Carolina - 183

Duggins, Sheryl - 339

Durand, William - 24

Eduardo Garcia, Rogerio - 377

Ekabua, Obeten - 51

El-Zawawy, Mohamed A. - 370

Elish, Mahmoud - 44

Enquobahrie, Andinet - 353

Fernandez, Carlos - 251

Figueroa, Jose - 251

Freitas, Eduardo - 196

Fujimoto, Takayuki - 270 , 291

Fukuda, Akira - 37

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