Wireless Sensor Network (WSN) and Internet of Things (IoT) together have the potential to change the whole world into a smart planet. IoT technology has been a huge boon for a clean, green, and sustainable environment. This technology benefits numerous industries by improving connectivity and reducing energy wastage. IoT has the potential to make our environment more sustainable and help us to reduce pollution all across the globe. But due to limited resources in both these networks, it is very challenging to form a complete secure system. This survey paper examines the various security requirements and attacks possible in WSN and IoT. The paper surveys existing approaches like blockchain, fog/edge computing and machine learning to ensure security of IoT systems. The paper also evaluates the performance of common machine learning algorithms using IoT datasets.

The IEEE 802.11p standard has been amended in the 5.9GHz band in 2010 to provide road safety by enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. V2V communications evolve the exchange of Wave Short Messages (WSM) between vehicles for safety advertisement, either in one hop or multi-hop broadcasts. However, previous DSRC evaluations have shown that this protocol is highly sensitive to transmission conditions, making it difficult to predict its performance. We are interested in finding the best configuration parameters for safety messages broadcasting over DSRC in typical African urban environments. Extensive simulations through the widely used network simulator OMNeT++, Veins, and SUMO show that only a very small fraction (around 30%) of the WSM reach the neighboring vehicles on time. Furthermore, the rebroadcasting of WSM further deteriorates the performances. Thus, the protocol as it is needs to be improved for its application in our environment.

The class imbalance problem is prevalent in many domains including medical, natural language processing, image recognition, economic and geographic areas etc. We perform a systematic experimental comparison of different imbalance classification algorithms — ranging from sampling, distance metric learning, cost-sensitive learning to ensemble learning approaches — on several datasets from UCI, KEEL and OpenML. The algorithms included DDAE, MWMOTE, SMOTE, RUSBoost, AdaBoost, cost-sensitive decision tree (csDCT), self-paced Ensemble Classifier, MetaCost, CAdaMEC and Iterative Metric Learning (IML). As the substantial bias potentially caused by imbalance classification can be harmful for underrepresented classes which are of critical social and economic values and even lives, the main objective of our study is thus to understand the impact of imbalance ratio and the size of the utilized datasets on the performance of the above-mentioned algorithms. Our experiments show that 1) Sampling methods perform the worst and cannot be used directly for imbalanced classification, since they lack of consideration of neighborhoods based on distance. However, some classifiers can be improved after the balance of class distribution. 2) Cost-sensitive learning models should be utilized when the dataset is less imbalanced, because it is difficult to set an appropriate cost matrix for a specific dataset, which can cause performance fluctuations. 3) IML consistently shows good performance (in terms of F1 and AUCPRC), is resilient to different imbalance ratios but sensitive to the data distribution of the dataset. 4) Ensemble learning techniques generally perform better over other approaches due to theircombined intelligence of multiple basic classifiers. 5) In terms of system performance, self-paced Ensemble Classifier performs fairly well with regards to learning time, while IML and DDAE yield the longest learningtime; AdaBoost and self-paced Ensemble Classifier are two algorithms require lowest memory usage. Wealso provide our empirical recommendation for algorithm selection under different requirements and usagescenarios based on our analysis.

INTRODUCTION: The fact of our lives is that we will be reaching to elderly life stage sooner or later. Our elderly community has been left far behind of new technology updates. Technology advances just as age is catching up on us. To many who are in their twilight years, using cutting edge technologies may be a hurdle in their activities of daily living (ADLs).

OBJECTIVES: Therefore, this study aims to identify and measure the ADL challenges that the elderly encounter and improve their quality of life (QoL).

METHODS: This research embarked on semi-structured interviews at 9 geriatric care centres in Malaysia to investigate the ADL challenges by the elderly residents. The thematic analysis approach was employed for data analysis and further discussion.

RESULTS: The research findings suggested that the QoL of the elderly is limited by the challenges of geriatric issues, poor living conditions, and technology acceptance barriers.

CONCLUSION: In conclusion, the current research provides an overview of the ADL challenges faced by the elderly with recommendations of user-centred Internet of Things (IoT) devices for elderly to use in an ambient assisted living (AAL) environment in Society 5.0.

Unmanned aerial vehicles (UAVs) have been widely deployed in many applications such as transportation, data collection, monitoring, or tracking objects. Nowadays, numerous missions require UAVs to operate in a large area or to complete missions in a stringent period of time. Using a single UAV may not meet theperformance requirements because of its small size and limited battery. In this situation, multiple Unmanned Aerial Vehicles (UAVs) have emerged as an effective measure that can address these limitations. A group ofUAVs cooperatively working together could offer a solution that is more efficient and economical than usinga powerful UAV alone. To better utilizing the multiple-UAVs system, control of formation UAVs is a critical challenge that needs to overcome. Therefore, formation control has become an active research topic that gains great attention from researchers. Extensive research efforts have been dedicated to studying the formation control problem with numerous control protocols which have been proposed. This paper reviews the profound studies on formation control in literature. Each approach is investigated based on different criteria, which highlights its distinct merits and demerits. The comparison is provided to facilitate the readers in their future researches in the field of formation control. Finally, some open challenges and research directions are also discussed.

Art and culture are the core that serves as the identity, sign, and symbolism of the community, which becomes an important aspect for every community in shaping their culture. There is an important fact that the sustainability of art and culture able to contribute to the socio-economic and socio-cultural. However, the modernity, ecological development, and technological advances that are taking place, have challenge the continuity of art and cultural heritage. This paper focuses on identifying an appropriate approach and strategy for sustainable development of the art and cultural heritage in Malaysia. The need to ensure the sustainability of art and culture continues must be planned in detail and effectively. By understanding of the concept of sustainability, it can show value on focus and strategies for sustainability.

The purpose of this study was to determine the factors that influence the maintenance of Javanese Krama language by native speakers of the Ampelgading village community which is located at the eastern end of the Blitar border. The method used in this research is qualitative, which is to provide an overview of a situation as clearly as possible without any treatment to the object under study. This research is based on this sociolinguistic study to obtain data on linguistic phenomena that exist in society. The result concludes that there are specifically five factors influencing the maintenance of Javanese Krama by Ampelgading community: the pride of having Javanese language as the mother tongue, the influence of age in mastering Javanese Krama, the fear of being considered arrogant, the courtesy in mastering Javanese Krama, and last but not least, the motivation for older generation to pass down the legacy of Javanese Krama to their children.

The article reveals the important role of Inter-Faith Harmony Forum (IFHF) in ensuring the harmony of life among religious communities. IFHF, we argue, has constructive effects to encourage interaction and communication among distinct religious adherent. The forum is reducing social barriers that was previously segregating them in groups. Therefore, IFHF is not merely active in the scope of religion, but also the social, cultural, and political spheres. The role of IFHF in those spheres gives a distinctive touch to stimulate a sense of solidarity and the importance of the harmonious of religious life, especially in specific Malang community. In the social sphere, the forum facilitates comfortable meetings for communities. While, in the cultural sphere, unique and targeted approaches allow people to be comfortable during communication. Furthermore, in the political area, it bridges people's aspirations that precede to government policy. The research employs specifically ethnography methods, collaborating qualitative interpretation of selective subjects and group discussions.

The current language phenomenon is developing under the influence of situations and conditions that humans always execute, whether consciously or unconsciously. This study aims to acknowledge the manifestation of language choice performed by the community of Tourist Village Pujon Kidul, Malang when they interact online, especially in the domain of social networking. The method utilized in this study relies on a qualitative design to portray the general depiction of a certain occurrence without any given treatment. The technique used is threefold; interviewing, note-taking, and recording to document the community interaction within the domain of online or social media, such as Facebook and Instagram administered by Komunitas Desa Wisata Pujon Kidul Malang (Tourist Village Pujon Kidul Malang Community). This study targets the fundamental policy of the use of language in a specific community within the domain of online media while taking into account the values of local culture. The result shows that the manifestation of language choice portrayed in social media such as Facebook and Instagram are of four categories: Indonesian, Javanese, English, and a mix of the three languages; Indonesian-Javanese, Indonesian-English, and Javanese-Indonesian. Meanwhile, the interaction process is divided into three; the language use, the status context, and the dialogue room.