A legal study of the criminal trial process under the adversarial system in Malaysia / Nurliyana Zainudin…[et al.]

This research was conducted to examine the weaknesses in the criminal trial process under the adversarial system in Malaysia. In particular, the failure to provide for a fair and speedy trial in the criminal trial has been discovered throughout the research. The weakness of the criminal trial process as mentioned above is insistence upon procedure and technical error, the judge inactive role either during pre-trial or trial process, lacking the competent judge in the judiciary, the practice of the general court and also the court's conventional system which mostly based on the manual system and involving papers and handwriting. The reformats had been made to the legislative and judicial practices, specifically the amendments to Criminal Procedure Code in 2006 and 2010 as well as the establishment of a 'special court' and new management system called E-court. Based on the present weaknesses of the criminal trial process under the adversarial systet:Jl in Malaysia, the study evaluates the effectiveness and efficacy of the changes introduced to the criminal trial process. It is the conclusion of this research that there are some advantages of the reforms to the criminal trial process. However, there are also disadvantages and limitation of the reformed criminal trial process. This is due to the lacking in the enforcement and implementation of the reforms. Even though there are still many issues pertaining to the efficiency of the criminal trial process, the reform to the system is applauded and should be continued to strive for betterment of the system

The legal protection of corals in Malaysia / Fakhriyah Ramli, Kartikha Zainudin, Nurliyana Mokhtaruddin

This research discussed on the issue of legal protection of corals in Malaysia. The aim of this study is to analyze the comprehensiveness of the current law which protects the corals under the Fisheries Act 1985 and also to further enhance the law regarding the protection of corals in Malaysia. The method used in this research is the qualitative research methodology. The first, method used is library based and internet based. Primary sources and secondary sources were gathered from the UITM law collection library i.e. PTARII. The second method is semi structured interviews with the officers of the Marine Park in Putrajaya and the officers from Reef Check Malaysia who are involved in the protection of corals in Malaysia. The Fisheries Act 1985 (Act 371) is relevant in our country for the protection of corals however the punishment and the enforcement is not sufficient and compared to other countries, the Malaysian law needs further improvement. This study also highlighted some of the problems on coral protection in Malaysia such as destructive fishing methods, waste dumping, marine tourism activities, effect of climate change, impact of cyclone and tsunami, coral bleaching and pollution. Suggestions and recommendations on the protection of corals were also discussed i.e. a specific legislation on corals protection, an increase in the penalty for offenders and the creation of awareness programs for the protection of corals is also highly recommended

Implementing low level features for human aggressive movement detection

In this real world, being able to identify the signs of imminent abnormal behaviors such as aggression or violence and also fights, is of extreme importance in keeping safe those in harm’s way. This research propose an approach to figure out human aggressive movements using Horn-Schunck optical flow algorithm in order to find the flow vector for all video frames. The video frames are collected using digital camera. This research guides and discovers the patterns of body distracted movement so that suspect of aggression can be investigated without body contact. Using the vector of this method, the abnormal and normal video frames are then classified and utilized to define the aggressiveness of humans. Preliminary experiment result showed that the low level of feature extraction can classify human aggressive and non-aggressive movements